Since approval of the EU General Data Protection Regulation (GDPR) in 2016, it has been widely and repeatedly claimed that the GDPR will legally mandate a ‘right to explanation’ of all decisions made by automated or artificially intelligent algorithmic systems. This right to explanation is viewed as an ideal mechanism to enhance the accountability and transparency of automated decision-making. However, there are several reasons to doubt both the legal existence and the feasibility of such a right. In contrast (...) to the right to explanation of specific automated decisions claimed elsewhere, the GDPR only mandates that data subjects receive meaningful, but properly limited, information (Articles 13-15) about the logic involved, as well as the significance and the envisaged consequences of automated decision-making systems, what we term a ‘right to be informed’. Further, the ambiguity and limited scope of the ‘right not to be subject to automated decision-making’ contained in Article 22 (from which the alleged ‘right to explanation’ stems) raises questions over the protection actually afforded to data subjects. These problems show that the GDPR lacks precise language as well as explicit and well-defined rights and safeguards against automated decision-making, and therefore runs the risk of being toothless. We propose a number of legislative and policy steps that, if taken, may improve the transparency and accountability of automated decision-making when the GDPR comes into force in 2018. (shrink)

The growing reliance on cloud computing has introduced significant challenges surrounding data sovereignty, especially in a globalized digital economy. Data sovereignty refers to the legal and regulatory frameworks that govern where and how data can be stored, processed, and accessed based on the country or jurisdiction in which it resides. With cloud services enabling businesses to store and access data from multiple locations worldwide, navigating the complex web of national regulations has become a major challenge. This (...) paper explores the key issues of data sovereignty, the impact of differing legal frameworks on cloud services, and the challenges businesses face in ensuring compliance with international data protection laws. We also examine strategies for managing cross-border data flows, including data localization, compliance with General Data Protection Regulation (GDPR), and the role of cloud service providers in supporting data sovereignty. Through case studies and analysis of existing regulatory trends, this paper provides a comprehensive overview of the regulatory landscape and offers practical solutions for businesses to manage their data sovereignty obligations. (shrink)

The first few years of the 21st century were characterised by a progressive loss of privacy. Two phenomena converged to give rise to the data economy: the realisation that data trails from users interacting with technology could be used to develop personalised advertising, and a concern for security that led authorities to use such personal data for the purposes of intelligence and policing. In contrast to the early days of the data economy and internet surveillance, the (...) last few years have witnessed a rising concern for privacy. As bad data practices have come to light, citizens are starting to understand the real cost of using online digital technologies. Two events stamped 2018 as a landmark year for privacy: the Cambridge Analytica scandal, and the implementation of the European Union’s General Data Protection Regulation (GDPR). The former showed the extent to which personal data has been shared without data subjects’ knowledge and consent and many times for unacceptable purposes, such as swaying elections. The latter inaugurated the beginning of robust data protection regulation in the digital age. Getting privacy right is one of the biggest challenges of this new decade of the 21st century. The past year has shown that there is still much work to be done on privacy to tame the darkest aspects of the data economy. As data scandals continue to emerge, questions abound as to how to interpret and enforce regulation, how to design new and better laws, how to complement regulation with better ethics, and how to find technical solutions to data problems. The aim of the research project Data, Privacy, and the Individual is to contribute to a better understanding of the ethics of privacy and of differential privacy. The outcomes of the project are seven research papers on privacy, a survey, and this final report, which summarises each research paper, and goes on to offer a set of reflections and recommendations to implement best practices regarding privacy. (shrink)

Health data processing fields face ethical and legal problems regarding fundamental rights. As we know, patients can benefit in the Digital Era from having health or medical information available, and medical decisions can be more effective with a better understanding of clinical histories, medical and health data thanks to the development of Artificial Intelligence, Internet of Things and other Digital technologies. However, at the same time, we need to guarantee fundamental rights, including privacy ones. The complaint about ethical (...) and legal requirements – including constitutional ones – is particularly relevant in the processing of health data. This paper is focused on the problem of the consent required to the processing of health data and the exceptions established in the new European Union General Data Regulation, which cover the processing of this special data -within other aims- for scientific, historical and statistical research as legitimate purposes, which include biomedical research. The conclusion is that these open concepts are problematic both for the protection of privacy rights and for the legal security/certainty of research. On one hand there are several interpretation problems, regarding the processing of health data and the protection of information privacy. On the other hand, professionals must follow the Multilevel legal framework and to guarantee fundamental rights in the processing of health data, so there are also problems of interpretation for researchers. Therefore, we need a clearer legal framework for biomedical research. (shrink)

The EDPS Ethics Advisory Group (EAG) has carried out its work against the backdrop of two significant social-political moments: a growing interest in ethical issues, both in the public and in the private spheres and the imminent entry into force of the General Data Protection Regulation (GDPR) in May 2018. For some, this may nourish a perception that the work of the EAG represents a challenge to data protection professionals, particularly to lawyers in the field, as (...) well as to companies struggling to adapt their processes and routines to the requirements of the GDPR. What is the purpose of a report on digital ethics, if the GDPR already provides all regulatory requirements to protect European citizens with regard to the processing of their personal data? Does the existence of this EAG mean that a new normative ethics of data protection will be expected to fill regulatory gaps in data protection law with more flexible, and thus less easily enforceable ethical rules? Does the work of the EAG signal a weakening of the foundation of legal doctrine, such as the rule of law, the theory of justice, or the fundamental values supporting human rights, and a strengthening of a more cultural approach to data protection? Not at all. The reflections of the EAG contained in this report are not intended as the continuation of policy by other means. It neither supersedes nor supplements the law or the work of legal practitioners. Its aims and means are different. On the one hand, the report seeks to map and analyse current and future paradigm shifts which are characterised by a general shift from analogue experience of human life to a digital one. On the other hand, and in light of this shift, it seeks to re-evaluate our understanding of the fundamental values most crucial to the well-being of people, those taken for granted in a data-driven society and those most at risk. The objective of this report is thus not to generate definitive answers, nor to articulate new norms for present and future digital societies but to identify and describe the most crucial questions for the urgent conversation to come. This requires a conversation between legislators and data protection experts, but also society at large - because the issues identified in this report concern us all, not only as citizens but also as individuals. They concern us in our daily lives, whether at home or at work and there isn’t a place we could travel to where they would cease to concern us as members of the human species. (shrink)

Recent discussions among lawyers, philosophers, policy researchers and athletes have focused on the potential threat to privacy posed by the World Anti-Doping Agency’s (WADA) whereabouts requirements. These requirements demand, among other things, that all elite athletes file their whereabouts information for the subsequent quarter on a quarterly basis and comprise data for one hour of each day when the athlete will be available and accessible for no advance notice testing at a specified location of their choosing. Failure to file (...) one’s whereabouts, or the non-availability for testing at said location on three occasions within any 18-month period constitutes an anti-doping rule violation that is equivalent to testing positive to a banned substance, and may lead to a suspension of the athlete for a time period of between one and two years. We critically explore the extent to which WADA’s whereabouts requirements are in tension with existing legislation on privacy, with respect to UK athletes, who are simultaneously protected by UK domestic and EU law. Both UK domestic and EU law are subject to the European Convention on Human Rights (ECHR) Article 8, which establishes a right to “respect for private and family life, home and correspondence”. We critically discuss the centrality of the whereabouts requirements in relation to WADA’s aims, and the adoption and implementation of its whereabouts rules. We conclude that as WADA’s whereabouts requirements appear to be in breach of an elite athlete’s rights under European workers’ rights, health & safety and data protection law they are also, therefore, in conflict with Article 8 of the ECHR and the UK Human Rights Act 1998. We call for specific amendments that cater for the exceptional case of elite sports labour if the WADA requirements are to be considered legitimate. (shrink)

Digital privacy scholars tend to bemoan ordinary people’s limited knowledge of and lukewarm interest in what happens to their digital data. This general lack of interest and knowledge is often taken as a consideration in favor of legislation aiming to force internet companies into adopting more responsible data practices. While we remain silent on whether any new laws are called for, in this paper we wish to underline a neglected consequence of people’s ignorance of and apathy for digital (...) privacy: their potential to encourage capture by industry interests. In particular, we argue that such laws may be at increased risk of capture because they are unlikely to be democratically responsive. We make this claim on a twofold basis: first, well-known theoretical mechanisms explaining how the absence of responsiveness leads to capture, identified in prior political science and political philosophy literature, yield the prediction that digital privacy legislation is likely to be unresponsive and thus captured; second, empirical data concerning the European Union’s digital privacy laws, with a special focus on the General Data Protection Regulation, appears to confirm these predictions: the bloc’s (world’s?) flagship privacy protection law seems more responsive to corporate than citizen interests. (shrink)

Most people are completely oblivious to the danger that their medical data undergoes as soon as it goes out into the burgeoning world of big data. Medical data is financially valuable, and your sensitive data may be shared or sold by doctors, hospitals, clinical laboratories, and pharmacies—without your knowledge or consent. Medical data can also be found in your browsing history, the smartphone applications you use, data from wearables, your shopping list, and more. At (...) best, data about your health might end up in the hands of researchers on whose good will we depend to avoid abuses of power.2 Most likely, it will end up with data brokers who might sell it to a future employer, or an insurance company, or the government. At worst, your medical data may end up in the hands of criminals eager to commit extortion or identity theft. In addition to data harms related to exposure and discrimination, the collection of sensitive data by powerful corporations risks the creation of data monopolies that can dominate and condition access to health care. -/- This chapter aims to explore the challenge that big data brings to medical privacy. Section I offers a brief overview of the role of privacy in medical settings. I define privacy as having one’s personal information and one’s personal sensorial space (what I call autotopos) unaccessed. Section II discusses how the challenge of big data differs from other risks to medical privacy. Section III is about what can be done to minimise those risks. I argue that the most effective way of protecting people from suffering unfair medical consequences is by having a public universal healthcare system in which coverage is not influenced by personal data (e.g., genetic predisposition, exercise habits, eating habits, etc.). (shrink)

This article analyses, defines, and refines the concepts of ownership and personal data to explore their compatibility in the context of EU law. It critically examines the traditional dividing line between personal and non-personal data and argues for a strict conceptual separation of personal data from personal information. The article also considers whether, and to what extent, the concept of ownership can be applied to personal data in the context of the Internet of Things (IoT). This (...) consideration is framed around two main approaches shaping all ownership theories: a bottom-up and top-down approach. Via these dual lenses, the article reviews existing debates relating to four elements supporting introduction of ownership of personal data, namely the elements of control, protection, valuation, and allocation of personal data. It then explores the explanatory advantages and disadvantages of the two approaches in relation to each of these elements as well as to ownership of personal data in IoT at large. Lastly, the article outlines a revised approach to ownership of personal data in IoT that may serve as a blueprint for future work in this area and inform regulatory and policy debates. (shrink)

Arthur Kaufmann is one of the most prominent figures among the contemporary philosophers of law in German speaking countries. For many years he was a director of the Institute of Philosophy of Law and Computer Sciences for Law at the University in Munich. Presently, he is a retired professor of this university. Rare in the contemporary legal thought, Arthur Kaufmann's philosophy of law is one with the highest ambitions — it aspires to pinpoint the ultimate foundations of law by explicitly (...) proposing an ontology, a general theory of knowledge and concept of a person. Kaufmann's work derives, first of all, from the thinking of Gustav Radburch, his teacher, and then from ideas of Karl Engish and Hans-Georg Gadamer. The philosophy undertakes to pursue the ultimate foundation of law, law which is understood by Kaufmann, first of all, as a "concrete judgement" that is, what is right in a concrete situation. Justice belongs to the essence of law and "unjust law" is contradictio in adiectio. Kaufmann opposes all those theories, which as the only foundation for establishing just law (Recht) adopt legal norms (Gesetz). In Kaufmann's opinion , such theories are powerless in the face of all types of distortions of law rendered by political forces. He suggests that the basic phenomenon which needs to be explained and which cannot be disregarded by a philosopher of law is so-called "legal lawlessness" ("Gestzliches Unrecht"). "Legal lawlessness" which forms a part of life experience for the people of twentieth century totalitarian states. It proved "with the accuracy of scientific experiment" that the reality of law consists of something more than bare conformity with legal norms. The existence of lex corrupta indicates that law contains something "non-dispositive" which requires acknowledgment of both law-maker and judge. Kaufmann, accepting the convergent concept of truth and cognition, assumes that "non-dispositive" content, emerging as the conformity of a number of cognitive acts of different subjects (inter-subjective communicativeness and verifiability), indicates the presence of being in this cognition. The questions "What is law?" and "What are the principles of a just solution?" lead straight to the ontology of law, to the question about the ontological foundations of law. Kaufmann discerns the ontological foundations of law in the specifically understood "nature of things" and, ultimately, in a "person". He proposes a procedural theory of justice, founded on a "person". In my work, I undertake to reconstruct the train of thought which led Kaufmann to the recognition of a "person" as the ontological foundation of law. In the first part, the conception of philosophy adopted by Kaufmann, initial characteristics of law — of reality which is the subject of analysis, as well as, the requirements for proper philosophical explanation of law posed by Kaufmann are introduced. In the second, Kaufmann's reconstruction of the process of the realisation of law is presented. Next, the conception of analogy which Kaufmann uses when explaining law is analyzed. In the fourth part, Kaufmann's conception of ontological foundations of law is discussed. A critical analysis is carried out in which I demonstrate that the theory of the ontological foundation of law proposed by Kaufmann and the concept of a person included in it do not allow a satisfac¬tory explanation of the phenomenon of "legal lawlessness" and lead to a number of difficulties in the philosophical explanation of law. Finally, the perspectives of a proper formulation of the issue of the ontological foundations of law are drafted in the context of the analyzed theory. My interest is centered on the conception of philosophy adopted by Kaufmann, according to which the existence of the reality is inferred on the basis of a certain configuration of the content of consciousness, whereas at the point of departure of philosophy of law, the data to be explained is a certain process, which is, basically, a process of cognition, while the reality appears only as a condition for the possibility of the occurrence of the process. I wish to argue that the difficulties which appear in the explanation of law are a consequence of the assumed fundamental philosophical solu¬tions, which seem to be characteristic, though usually not assumed explicitly, in philoso¬phy and theory of law dominant at present in continental Europe. Thereby, I wish to show the significance of ontological and epistemological solutions to the possibility of a proper formulation of the problems posed by philosophy and theory of law. Kaufmann proclaims himself in favour of a philosophy which poses questions about the ultimate foundations of understanding of the reality. In epistemology, he assumes that answers to the questions "What is reality like?" and ultimately "What is real?" are inferred on the basis of uniformity of a cognitive acts of different subjects. Cognition of the reality is accomplished exclusively through the content of conceptual material. The two fundamental questions posed by philosophy of law are "What is just law?" and "How is the just law enacted?" The latter is a question about the process of achieving a solution to a concrete case. Since, in Kaufmann's opinion, law does not exist apart from the process of its realisation, an answer to the question about the manner of realisation of law is of fundamental significance to answering the question: "What is law?" and to the explanation of the question about the ontological grounding of law, which is, as well, the foundation of justice. The proper solution has to take into account the moment of "non-dispositive" content of law; its positiveness understood as the reality and, at the same time, it has to point to the principles of the historical transformation of the content. Law, in the primary meaning of the word, always pertains, in Kaufmann's opinion, to a concrete case. A legal norm is solely the "possibility" of law and the entirely real law is ipsa res iusta, that which is just in a given situation. Determination of what is just takes place in a certain type of process performed by a judge (or by man confronted with a choice). Kaufmann aims to reconstruct this process. A question about the ontological foundation of law is a question about the ontological foundations of this process. In the analyzed theory it is formulated as a question about the transcendental conditions, necessary for the possibility of the occurrence of the process: how the reality should be thought to make possible the reconstructed process of the realisation of law. Kaufmann rejects the model for finding a concrete solution based on simple subsump¬tion and proposes a model in which concrete law ensues, based on inference by analogy, through the process of "bringing to conformity" that which is normative with that which is factual. Kaufmann distinguishes three levels in the process of the realisation of law. On the highest level, there are the fundamental legal principles, on the second legal norms, on the third — concrete solutions. The fundamental principles of law are general inasmuch as they cannot be "applied" directly to concrete conditions of life, however, they play an important part in establishing norms. A judge encounters a concrete situation and a system of legal norms. A life situation and norms are situated on inherently different levels of factuality and normativeness. In order to acquire a definite law both a norm (system of norms) and a life situation (Lebenssachverhalt) should undergo a kind of "treatment" which would allow a mutual conformity to be brought to them. Legal norms and definite conditions of life come together in the process of analogical inference in which the "factual state" ("Tatbestand") — which represents a norm, and in the "state of things" ("Sachverhalt") — which represents a specific situation are constructed. A "factual state" is a sense interpreted from a norm with respect to specific conditions of life. The "state of things" is a sense constructed on the basis of concrete conditions of life with respect to norms (system of norms). Legal norms and concrete conditions of life meet in one common sense established during the process of realisation of law. Mutatis mutandis the same refers to the process of composition of legal norms: as the acquisition of concrete law consists in a mutual "synchronization" of norms and concrete conditions of life, so acquisition of legal norms consists of bringing to conformity fundamental principles and possible conditions of life. According to Kaufmann, both of these processes are based on inference through analogy. As this inference is the heart of these processes it is simultaneously a foundation finding just law and justice. How does Kaufmann understand such an inference? As the basis for all justice he assumes a specifically interpreted distributive justice grounded on proportionality. Equality of relations is required between life conditions and their normative qualification. Concrete conditions of life are ascribed normative qualification not through simple application of a general norm. More likely, when we look for a solution we go from one concrete normative qualified case to another, through already known "applications" of norms to a new "application". The relation between life conditions and their normative qualifica¬tion has to be proportional to other, earlier or possible (thought of) assignments of that which is factual to that which is normative. Law as a whole does not consist of a set of norms, but only of a unity of relations. Since law is a, based on proportion, relative unity of a norm and conditions of life, in order to explain law in philosophical manner, the question about ontological base of this unity has to be asked. What is it that makes the relation between a norm and conditions of life "non-dispositive"? What is the basis for such an interpretation of a norm and case which makes it possible to bring a norm and conditions of life into mutual "conformity"? This is a question about a third thing (next to norms and conditions of life), with respect to which the relative identity between a norm and conditions of life occurs, about the intermediary between that which is normative and that which is factual and which provides for the process of establishing of norms, as well as, finding solutions. It is the "sense" in which the idea of law or legal norm and conditions of life have to be identical to be brought to mutual "conformity". In Kaufmann's opinion such a sense is nothing else but the "nature of things" which determines the normative qualification of the reality. Since establishment of this "sense" appears to be "non-dispositive" and controlled inter-subjectively (namely, other subjects will reach a similar result) so, in conformity with the convergent concept of truth, the "nature of things" must be assigned a certain ontological status. According to Kaufmann this is a real relation which occurs between being and obligation, between the conditions of life and normative quality. However, it should be underlined that from the point of view of the analyzed system the "nature of things" is a correlate of constructed sense, a result of a construction which is based on the principle of consistent understanding of senses ("non-normative" and "normative") and is not a reality which is transcendent against the arrangement of senses. In Kaufmann's theory, inference from analogy appears to be a process of reshaping the concepts (senses) governed by tendency to understand the contents appearing in relations between that which is factual and that which is normative in a consistent way. The analogical structure of language (concepts) and recognition of being as composed of an essence and existence is an indispensable requirement for the possibility of the realisation of law, based on specifically understood inference from analogy. It is necessary to assume a moment of existence without content which ensures unity of cognition. Existence emerges thus as a condition of the possibility of cognition. According to Kaufmann, the "nature of things" is the heart of inference through analogy and the basis for establishment of finding of law. Inference from the "state of things" to a norm or from a norm to the "state of things" always means inference through the "nature of things". The "nature of things" is the proper medium of objective legal sense sought in every cognition of law. In Kaufmann's view, the question whether the "nature of things" is ultima ratio of interpretation of law or is only a means of supplement gaps in law or whether it is one of the sources of law, is posed wrongly. The "nature of things" serves neither to supplement the gaps nor is it a source of law as, for example, a legal norm may be. It is a certain kind of "catalyst" necessary in every act of making law and solving a concrete case. Owing to "nature of things" it is possible to bring to a mutual conformity the idea of law and possible conditions of life or legal norms and concrete conditions of life. In Kaufmann's conception the "nature of things" is not yet the ultimate basis for understanding the "non-dispositiveness" of law. The relation between obligation and being is determined in the process of the realisation of law. Both the process itself and that which is transformed in this process are given. A question about the ontological bases of "material" contents undergoing "treatment" in the process of the realisation of law and about being which is the basis of regularity of the occurrence of the process arises. Only this will allow an explanation that the result of the process is not optional. Thus, a question about reality to which law refers and about the subject realising the law has to be formed. To this, Kaufmann gives the following answer: that which is missing is man but not "empirical man" but man as a "person". A "person" understood as a set of relations between man and other people and things. A "person" is the intermediary between those things which are different — norm and case are brought to conformity. A "person" is that which is given and permanent in the process of the realisation of law. It determines the content of law, is "subject" of law; this aspect is described by Kaufmann as the "what" of the process of realisation of law. A "person" consists of precisely just these relations which undergo "treatment" in the process. On the other hand, a "person" is "a place" in which the processes of realisation of law occur, it is the "how" of normative discourse, a "person" is that which determines the procedure of the process, being "outside" of it. This aspect of a "person" is connected with the formal moment of law. A "person" being, at the same time, the "how" and the "what" of the process of the realisation of law, is also, to put it differently, a structural unity of relation and that which constitutes this relation (unity of relatio and relata). According to this approach a "person" is neither an object nor a subject. It exists only "in between". It is not substance. Law is the relation between being and obligation. That which is obligatory is connected with that which is general. That which is general does not exist on its own, it is not completely real. Accordingly, a "person" as such is also not real. It is relational, dynamic and historical. A "person" is not a state but an event. In Kaufmann's opinion, such a concept of a "person" helps to avoid the difficulties connected with the fungibility of law in classical legal positivism. A "person" is that which is given, which is not at free disposal and secures the moment of "non-dispositiveness" of law. Kaufmann concludes: "The idea (»nature«) of law is either the idea of a personal man or is nothing". Theory points at the structure of realising law and explains the process of adoption of general legal norms for a concrete situation. The analysis has shown however, that in this theory a satisfactory answer to the question about the ultimate foundations of law is not given. It seems that in the analyzed theory the understanding of human being takes place through understanding of law. What is good for man as a "person", what is just, what a "person" deserves may be determined only against the existing system of law. A "per¬son" adopted as a basis of law is the reality postulated in the analysis of the process of the realisation of law. It is a condition of possibility of this process ( explaining, on one hand, its unity and, on the other hand, the non-dispositive moments stated in this process). A "person" in the discussed theory is entirely defined by the structure of law, it can be nothing more than that which is given in law, what law refers to, what law is about. Being, which is a "person", is constituted by relations between people and objects, the relations which are based on fundamental links between norms and conditions of life established in a process of bringing them to conformity. It has to be assumed that man as a "person" is a subject of law only as far as realising law "treats" given senses according to their current configuration. The system of law is a starting point and it describes in content what man is as a "person". Moreover, being a "person" is the condition for entering legal relations. Consistently, Kaufmann writes that "empirical man" is not the subject of law, man is not "out of nature" a "person". People become "persons" due to the fact that they acknowledge each other as "persons" — acknowledging, at the same time, law. This acknowledgement is a con¬dition of existence, of the possibility of the occurrence of process of realisation of law and of constituting legal relations which ultimately constitute a "person". Kaufmann assumes, that law tends towards a moral aim: it may and must create an external freedom, without which the internal freedom to fulfil moral obligations cannot develop. However, this postulate is not based on the necessary structure of human being. From the point of view of his system, it is nothing more than only a condition for the possibility of the occurrence of the process of the realisation of law — lack of freedom would destroy the "how" of this process. Thus, the postulate to protect the freedom of personal acts has to be interpreted, in accordance with the analyzed theory, as a postulate, the fulfilment of which aims ultimately at the accomplishment of the very same process of realisation of law itself and not the realisation of a given man. Kaufmann considers a "person" to be an element which unites the system of law as a whole. Law is a structure of relations, which are interdependent and inter-contingent. Consequently, a "person" which is to form the ontological basis of law has to be entity consisting of all relations. Being also the "how" of the process of realisation of law, if a "person" is to warrant its unity, it has to be a common source for all procedures. Hence, a single "person" would constitute a subject of law. Man appears to be only a moment of a certain entirety, realisation of which should be an aim of his actions. Law, creating a "person" as an object and subject of law becomes a primary entity. In the analyzed theory, the basis for determination of aims which law sets to man is not the allocation of man-subject to something which improves him but rather, such relation is only just constituted by law. A question appears, why should aims set in law also be the aims of "empirical man"? Why is this "empirical man" to be punished in the name of a "person" understood in such a way? If, however, it is assumed that what is man is determined by a system which is superior to him, then man has to be understood only as a part of a whole and there are no grounds to prohibit istrumental treatment of man and so the road to all aspects of totalitarianism might be opened. A problem of the application of created theory to the reality arises, the reality which the theory pretends to explain. Ultimately in his theory Kaufmann does not give any systemic grounds for a radical questioning of the validity of any legal norms. Every new norm becomes an equal part of system of norms. It is only its interpretation and application to given conditions of life that may be disputable, however, this refers to all norms without exception. Cohesive inter-pretation of norms and applications is necessary and sufficient for the acquisition of just law. New norms have to be interpreted in the light of others, correspondingly, the other norms require reinterpretation in the light of the new ones. Contradiction in interpretation of a norm does not form a basis for questioning norms but may serve only to question the manner of their interpretation (understanding). Therefore, no grounds exist to assume any legal norm as criminal or unjust, and in consequence, to question any consistently realised system based on formally, properly established norms, as "legal lawlessness". As law and a "person" do not exist without the process of realisation of law, the role of legal safety becomes crucial as the condition for the possibility of the occurrence of the process of realisation of law. Denying legal safety would be tantamount to negation of law in general (also of moral law) as negation of safety takes away, at the same time, the basis for occurrence of the process of realisation of law. Moreover, any lack of legal safety would also mean lack of a basis for the existence of man as a "person". Kaufmann's thesis, that civil disobedience is legalized only when it has a chance to lead to success, consistent with his concept of the foundations of law, seems to point directly to conclusions which deny the facts taken under consideration and doubtlessly Kaufmann's own intentions, since it would have to be assumed that accordingly there are no grounds to question a legal system in force based on violence which secures its operation. Force finally seems to determine which one of the mutually irreconcilable normative systems constitute law and which does not. A legitimate position is one which leads to success, it is the weaker system which is negated. If so, then basically violent imposition of law is not an act directed against the law in force but, to the contrary, realisation of law. In the context of the new system the former system of law may be talked about as unjust solely in the sense of being incapable of being consistently united with the new. However, at the base, ultimately, lies force which reaffirms differences and excludes from the process of realisation of law certain norms and their interpretations. Kaufmann was aiming at grounding of that which is "non-dispositive" in a certain given framework of interpretation. Nevertheless, he does not provide foundations for the understanding of phenomena, which he undertakes to explain at a point of departure. Instead of explaining them the theory negates the possibility of their existence. The reality postulated in regard to "non-dispositive" moments of the reconstructed process of acquiring law consist of a specifically understood "person", which appears in Kaufmann's conceptions as a condition of the possibility of the realisation of law. According to this approach understanding of a "person" may be only a function of law. To understand "legal lawlessness" and foundations of justice it is necessary to look for such theory of law in which understanding of man as a "person" and being is not a function of understanding of law (in which a "person" is not only a condition for possibility of reconstructed process of realisation of law; for possibility of cognition processes). It seems necessary to start from theory of being and a "person" based on broader experience than the one assumed by Kaufmann and reconstruct the ontological foundations of the process of realisation of law only in such perspective. Kaufmann points out that that to which law refers is ipsa res iusta a concrete relation of man to other people and things. This relation, in his theory, appears to be basically only just constituted by law (normative senses "applied" to conditions of life). Therefore, understanding the relation between a given man and other people and things which constitute the aim of his actions, that is understanding of good, is enacted against the background of constitution of senses; constitution which is a result of a process aiming towards consistent understanding of particular contents (of nor¬mative and non-normative senses). "Being" is secondary towards constructed senses it is only their correlate. The primary relation consists of relation of a man to law (system of norms), while the secondary relation is one of man to something which is the aim of his action (relation between man and good). Considering such approach it is difficult to envision a satisfying answer to the fundamental question: why does law put concrete man under any obligation to obey it? The source of this problem can be seen in reduction of the base for understanding good to content of obligation formulated in auto-reflection. Such reduction seems to be a consequence of Kaufmann's adoption of "convergent concept of truth" and in con¬sequence his recognition of indirect, essentialistic grasp of reality formulated in concepts as the basic and only foundation of theory of being and of law. In view of such an approach, analogy of law, concepts and being is the condition for the possibility of the process of transformation of senses which aims at consistent interpretation of all law. Existence is postulated with respect to the possibility of unity of experience and cognition. However, also a different approach to understanding of the problem of being and good is possible. In spontaneous cognition being is affirmed, first of all, not as a certain, non-contradictory, determined content, but as something existing. Together with a cer¬tain content (passed indirectly through notions) existence of being is co-given. The basis for unity of being is not formed by the consistence of content, as it is in the case of the theories departing from the analysis of cognition processes, but by an act of existence realising content (essence). Such an approach makes it also possible to go beyond the convergent concept of truth. It is worth mentioning that allocation of an agent to good is realised not only by the content of duty. A statement that something is good is primary with respect to determination of this good in content. The recognised good always bears some content, however, there are no reasons to base the concept of good exclusively on indirect, formulated in concepts cognition. As primary, can be adopted the relation of man to good and not of man to law. Determination in content appears to be only an articulation of aspectual cognition of being, as an object of action. In such a case the basis for relative unity of norm and conditions of life is not the "nature of things" understood as correlate of sense but it is relation to good based on internal constitution of man as potential, not self-sufficient being. It does not mean, that the moments of the process of realisation of law singled out by Kaufmann are not important to determination of what is just. He, quite rightly, points to significant role played by norms in the evaluation of concrete situations, in man's search for closer specification in content of good innate to him. The structure of process of determining law for a concrete situation, to a great degree corresponds to the processes of determining law which take place not only in the legal sciences. Kaufmann's analyses of the process of realisation of law show the complexity of the structure of these processes and point towards important moments allowing a better understanding of law and man. Nevertheless, these analyses cannot be a basis for construction of philosophical theory of law, theory which hopes to point out the ultimate, ontological foundations for understanding law. Kaufmann's results may become fully valid only in a more general perspective including broader experience at the point of departure. (shrink)

The public constitutes a major stakeholder in the debate about, and resolution of privacy and ethical The public constitutes a major stakeholder in the debate about, and resolution of privacy and ethical about Big Data research seriously and how to communicate messages designed to build trust in specific big data projects and the institution of science in general. This chapter explores the implications of various examples of engaging the public in online activities such as Wikipedia that contrast with (...) “Notice and Consent” forms and offers models for scientists to consider when approaching their potential subjects in research. Drawing from Lessig, Code and Other Laws of Cyberspace, the chapter suggests that four main regulators drive the shape of online activity: Code (or Architecture), Laws, Markets, and Norms. Specifically, scientists should adopt best practices in protecting computerized Big Data (Code), remain completely transparent about their data management practices (Law), make smart choices when deploying digital solutions that place a premium on information protection (Market), and, critically, portray themselves to the public as seriously concerned with protecting the privacy of persons and security of data (Norms). The community of Big Data users and collectors should remember that such data are not just “out there” somewhere but are the intimate details of the lives of real persons who have just as deep an interest in protecting their privacy as they do in the good work that is conducted with such data. (shrink)

Criminal offences and regulatory breaches in using social networking evidence in personal injury litigation Pages 2-7 Current Criminal Law ISSN 1758-8405 Volume 2 Issue 3 March 2010 Author SALLY RAMAGE WIPO 900614 UK TM 2401827 USA TM 3,440.910 Orchid ID 0000-0002-8854-4293 Sally Ramage, BA (Hons), MBA, LLM, MPhil, MCIJ, MCMI, DA., ASLS, BAWP. Publisher & Managing Editor, Criminal Lawyer series [1980-2022](ISSN 2049-8047); Current Criminal Law series [2008-2022] (ISSN 1758-8405) and Criminal Law News series [2008-2022] (ISSN 1758-8421). Sweet & Maxwell (Thomson (...) Reuters) (Licensed Annotator of UK Statutes) in Current Law Statutes Annotated, (2006, 2009, 2010 editions) (sole and separate S&M contracts) for 7 UK Criminal Justice Statutes: UK Safeguarding Vulnerable Persons Act 2006; UK International Development Act 2006; UK Fraud Act 2006; UK Policing and Crime Act 2009, UK Local Democracy Act 2009; UK Bribery Act 2010; and UK Crime and Security Act 2010. Trade Mark SALLY RAMAGE ® 2401827 (2005-2025) in the UK, WIPO Trade Mark SALLY RAMAGE® 900164; USA-(Trade Mark 3,440,910) (2008-2028). WARNING: The doing of an unauthorized act in relation to a copyright work may result in both a civil claim for damages and criminal prosecution. Essentially, Social Network information may not always be admissible in a court of law but may be the door to lead to other, non-contentious evidence. In fact, even illegally obtained evidence may sometimes be admissible evidence, though this is not absolute. Most of the information available on social networking sites will be ‘personal data’. The data controller is the network operator, without whose consent, collecting such information could be an offence, unless it was necessary for the purpose of preventing or detecting crime. (shrink)

This topic focuses on the problems that arise in providing medical care to the population during armed conflict or martial law. Under such conditions, hospitals, clinics, and other healthcare facilities have to work in challenging circumstances with limited resources and reduced security for medical personnel. This topic explores such issues as how martial law affects the work of medical institutions, what problems arise in providing medical care to the population in war, how war affects the health of the people, and (...) what consequences it may have in the long term. Research in this area will help to understand how to organize better and prepare medical facilities to work in war conditions and ensure high-quality medical care to the population in emergencies. The methods used to write this article were analysis, synthesis, generalization, explanation, and data qualification. The primary and fundamental sources for writing an article may vary depending on the topic, but generally, the following sources can be recommended. Academic studies: these can be scholarly articles, monographs, dissertations, conference papers, and other materials related to the topic of your article. These sources can help you find information about the latest research in the field and allow you to see the approaches and methodologies used in the studies. Official sources: These can be legal documents, reports, regulations, guidelines, and other materials issued by government agencies, ministries, and other departments. These sources can help you understand the rules and regulations governing your article's topic. Expert reviews: these can be interviews with experts in the field, articles, and other materials written by well-known specialists. These sources can help you understand the views and opinions of well-known experts on the issues related to your paper. (shrink)

Notoriously, the Einstein equations of general relativity have solutions in which closed timelike curves occur. On these curves time loops back onto itself, which has exotic consequences: for example, traveling back into one's own past becomes possible. However, in order to make time travel stories consistent constraints have to be satisfied, which prevents seemingly ordinary and plausible processes from occurring. This, and several other "unphysical" features, have motivated many authors to exclude solutions with CTCs from consideration, e.g. by conjecturing a (...) chronology protection law. In this contribution we shall investigate the nature of one particular class of exotic consequences of CTCs, namely those involving unexpected cases of indeterminism or determinism. Indeterminism arises even against the backdrop of the usual deterministic physical theories when CTCs do not cross spacelike hypersurfaces outside of a limited CTC-region|such hypersurfaces fail to be Cauchy surfaces. We shall compare this CTC-indeterminism with four other types of indeterminism that have been discussed in the philosophy of physics literature: quantum indeterminism, the indeterminism of the hole argument, non-uniqueness of solutions of differential equations and lack of predictability due to insuffcient data. By contrast, a certain kind of determinism appears to arise when an indeterministic theory is applied on a CTC: things cannot be different from what they already were. Again we shall make comparisons, this time with other cases of determination in physics. We shall argue that on further consideration both this indeterminism and determinism on CTCs turn out to possess analogues in other, familiar areas of physics. CTC- indeterminism is close to the epistemological indeterminism we know from statistical physics, while the "fixedness" typical of CTC-determinism is pervasive in physics. CTC- determinism and CTC-indeterminism therefore do not provide incontrovertible grounds for rejecting CTCs as conceptually inadmissible. (shrink)

The Violation of the Absolute Law of Free Will: The Consequences of Misinformation and the Flaws in Freedom of Speech -/- Introduction -/- Free will is often regarded as humanity’s defining characteristic—the ability to make choices based on conscious thought, personal experience, and available information. However, free will is not merely about the freedom to choose; it is intrinsically tied to the accuracy and reliability of the information upon which those choices are made. The absolute law of free will, when (...) correctly understood, dictates that human decision-making must be 100 percent dependent on correct information. Any deviation from this principle, through misinformation, disinformation, or ignorance, constitutes a violation of this law and results in imbalanced, often detrimental outcomes for individuals and society as a whole. -/- Complicating this issue is the modern interpretation and implementation of freedom of speech and expression. While these freedoms are fundamental to democratic societies, they come with inherent flaws when unchecked. The unregulated dissemination of false or misleading information under the guise of free speech creates significant challenges in maintaining the integrity of information and, consequently, free will. -/- The Foundation of Free Will: Correct Information -/- The exercise of genuine free will requires access to accurate, reliable information. Decisions made under false pretenses or incomplete knowledge are not truly free but are instead manipulated or constrained by external distortions. The mind operates like a system that processes inputs (information) to generate outputs (decisions and actions). If the input is flawed, the output will inevitably be compromised. -/- For instance, when individuals base their choices on misinformation—such as health-related decisions influenced by false medical advice—they act under the illusion of free will. However, their actions, though seemingly voluntary, are dictated by incorrect data. This demonstrates that true free will can only exist when individuals are fully informed by verifiable facts. -/- The Law of Karma and the Feedback Mechanism of Information -/- The universal law of karma, which involves the principle of cause and effect, also applies to the relationship between free will and information. Every decision and action causes a ripple effect that influences future outcomes. When decisions are made based on falsehoods, the resulting negative consequences, such as social conflict, health crises, and societal instability, reflect the karmic response to the imbalance created by misinformation. -/- Information functions as a feedback mechanism within societal systems. When this feedback loop is polluted with inaccuracies, the entire system becomes unstable. For example, the propagation of false information about climate change has delayed necessary global actions, causing environmental deterioration. The violation of free will through the spread of misinformation disrupts the natural balance of societal decision-making, leading to long-term consequences that extend beyond individual choices. -/- The Flaws In the Laws of Freedom of Speech and Expression -/- Freedom of speech and expression is a cornerstone of democratic societies, allowing individuals to voice their opinions, share ideas, and engage in open discourse. However, this freedom is not absolute and, when exercised irresponsibly, can directly violate the absolute law of free will. The flaws within these legal frameworks become evident when misinformation, disinformation, and harmful propaganda are disseminated without accountability. -/- 1. The Spread of Misinformation and Disinformation The unrestricted nature of freedom of speech has led to the proliferation of misinformation across social, political, and scientific domains. False narratives regarding health, such as anti-vaccine propaganda, have endangered public health and undermined free will by providing individuals with inaccurate information on which to base their decisions. -/- 2. The Manipulation of Public Opinion Political propaganda, fake news, and conspiracy theories exploit the principles of free speech to manipulate public perception. Authoritarian regimes and interest groups often use misinformation to influence elections, sway public opinion, and maintain power. When people make decisions based on manipulated narratives, their free will is compromised. -/- 3. The Role of Social Media and Digital Platforms Social media platforms, while fostering global communication, have amplified the spread of misinformation. Algorithms designed to maximize engagement often prioritize sensational or misleading content over factual information. The lack of regulatory measures on these platforms creates an environment where misinformation spreads more rapidly than truth, resulting in collective decision-making that violates the law of balance. -/- 4. The Challenge of Regulation Regulating freedom of speech without infringing upon individual liberties presents a significant challenge. Striking a balance between protecting free expression and preventing the spread of false information requires well-defined legal frameworks, global cooperation, and ethical considerations. -/- 5. Hate Speech and Its Societal Impact The misuse of freedom of speech to propagate hate speech, incite violence, and promote division disrupts societal harmony. Misinformation about certain groups, ethnicities, or religions fosters discrimination and social unrest, further violating the balance required for the proper exercise of free will. -/- The Societal Impact of Misinformation -/- Misinformation has far-reaching effects on societal structures, particularly in democratic systems where public decision-making relies heavily on the availability of correct information. The manipulation of information through propaganda, conspiracy theories, and biased media distorts collective free will, leading to decisions that do not reflect the genuine, informed will of the people. -/- Elections, for instance, are a prime example. When voters are misled by false narratives or deceptive political strategies, their electoral decisions are no longer expressions of true free will. The outcomes of such manipulated decisions often result in societal discord, poor governance, and disillusionment with democratic processes. In this way, misinformation violates the collective free will of entire populations. -/- The Role of Education in Upholding the Absolute Law of Free Will -/- To protect and uphold the absolute law of free will, society must prioritize a holistic educational system that emphasizes critical thinking, information literacy, and scientific inquiry. Education should equip individuals with the ability to discern fact from fiction, understand the sources of information, and recognize the potential biases inherent in various media channels. -/- An educational system grounded in the universal law of balance in nature can act as a safeguard against misinformation. By teaching individuals how to process information through rational, evidence-based methods, we can foster a societal environment where decisions are consistently made based on truth. This, in turn, ensures that free will is exercised in its purest form. -/- The Role of Artificial General Intelligence (AGI) in Preserving Free Will -/- The rapid advancement of AGI presents both challenges and opportunities regarding the preservation of free will. If AGI systems are designed based on the universal formula that emphasizes accurate information, natural balance, and critical thinking, they can become powerful tools for protecting free will. These systems can help filter misinformation, verify facts, and provide individuals with reliable data upon which to base their decisions. -/- However, the potential misuse of AGI, such as the intentional spread of disinformation for political or economic gain, represents a significant risk. Ensuring that AGI adheres to principles grounded in the universal law of balance and the law of cause and effect is essential to maintaining the integrity of human decision-making. -/- Conclusion -/- The absolute law of free will is inseparable from the requirement for correct information. Any decision made under the influence of misinformation, disinformation, or ignorance represents a fundamental violation of this law. The consequences of such violations are evident in societal conflicts, poor health outcomes, environmental degradation, and governance failures. -/- The flaws Inherent in the laws surrounding freedom of speech and expression further complicate this issue. While these freedoms are essential for societal growth and the exchange of ideas, their misuse creates significant obstacles to the proper exercise of free will. To safeguard free will, society must invest in education, promote information literacy, implement responsible regulations for free speech, and ensure the ethical development of AGI systems. -/- By adhering to the principle that free will is 100 percent dependent on correct information, humanity can create a more stable, balanced, and harmonious society, where individuals and communities alike can make decisions that align with the natural laws governing human behavior and societal development. -/- . (shrink)

The Unified Theory of Free Will: The Three Universal Laws, Systemic Imbalance, and Nature’s Self-Correction -/- By Angelito Malicse -/- Introduction -/- For centuries, the concept of free will has been debated, with perspectives ranging from determinism to compatibilism and libertarianism. However, these traditional views fail to acknowledge the natural laws that govern human decision-making. By synthesizing the Universal Law of Balance in Nature, the Universal Feedback Loop Mechanism, and the Error-Free System, we establish a unified theory of free will—a (...) structured approach to human choices within the constraints of natural order. -/- Additionally, it is crucial to recognize the tolerance limits of hierarchical systems—both natural and man-made. When human decisions exceed these limits and imbalances persist, nature will automatically step in to restore equilibrium. This natural correction often manifests in disruptive ways, such as natural disasters, economic collapses, or social upheavals. Understanding these dynamics is essential to ensuring stability across all systems. -/- Furthermore, human emotions, which have evolved as essential survival mechanisms, play a dual role in maintaining or disrupting balance. Emotions influence decision-making, motivation, and social interactions. When properly regulated, they help individuals and societies adapt to challenges and maintain systemic harmony. However, when emotions exceed their tolerance limits—such as excessive fear leading to panic or unchecked anger causing conflict—they contribute to systemic imbalance and dysfunction. -/- The Three Universal Laws and Their Role in Decision-Making -/- 1. Universal Law of Balance in Nature -/- Every system—biological, social, and technological—operates within specific tolerance limits. Decisions that align with natural balance maintain stability, while those that exceed these limits lead to disruption. If humans fail to correct imbalances, nature will forcefully restore equilibrium, often through unpredictable and catastrophic means. -/- Examples of Balance, Systemic Imbalance, and Natural Correction: -/- Personal Health: A balanced diet sustains physical well-being, while excessive consumption leads to obesity and related diseases. If ignored, the body self-corrects through metabolic disorders and immune system responses. -/- Economic Stability: A balanced economy fosters growth, while financial mismanagement leads to economic crashes. Recessions and inflation serve as corrective mechanisms for financial excesses. -/- Environmental Sustainability: Responsible resource management ensures long-term survival, whereas overexploitation leads to climate change and natural disasters such as droughts and hurricanes, which force societies to adapt. -/- Ecosystem Regulation: Overfishing disrupts marine populations, but nature counters with species migration and ecological shifts that eventually restore stability. -/- Energy Consumption: Overuse of fossil fuels accelerates climate change, prompting extreme weather events and necessitating the shift to renewable energy sources. -/- 2. Universal Feedback Loop Mechanism -/- Decision-making must incorporate continuous feedback to ensure adaptation and refinement. Ignoring or distorting feedback results in inefficiencies and systemic collapse. -/- Examples of Feedback, Systemic Imbalance, and Nature’s Response: -/- Business Adaptation: Companies that respond to consumer feedback thrive, while those that ignore it collapse due to declining market relevance. -/- Political Governance: Leaders who suppress public concerns foster unrest, often leading to revolutions or government overhauls. -/- Technological Development: AI systems trained on biased or incomplete data develop flawed decision-making patterns, necessitating retraining and regulation. -/- 3. Error-Free System -/- Every decision has consequences, and ensuring 100 percent correct information is essential to maintaining systemic balance. Errors in data, assumptions, or implementation can trigger unintended disruptions. -/- Examples of Cause and Effect, Misinformation, and Systemic Collapse: -/- Academic Success: Proper study methods enhance learning, while reliance on ineffective strategies results in poor educational outcomes. -/- Industrialization and Environmental Impact: Sustainable practices protect ecosystems, while reliance on false environmental data accelerates degradation. -/- Global Resource Consumption: Inaccurate assessments of resource availability lead to economic and geopolitical instability. -/- The Evolution and Purpose of the Duality of Human Emotions -/- Human emotions have evolved as critical mechanisms for survival, adaptation, and social cohesion. They function as regulatory signals that guide decision-making, helping individuals and societies maintain equilibrium. However, emotions also possess a dual nature, where their misalignment or overexpression can lead to instability and dysfunction. -/- Positive Role of Emotions in Systemic Balance: -/- Empathy and Cooperation: Emotions such as compassion and trust foster social cohesion, strengthening communities and enhancing cooperation. -/- Fear and Caution: A moderate level of fear helps individuals assess risks and avoid dangerous situations, ensuring personal and collective safety. -/- Motivation and Ambition: Positive emotions such as enthusiasm and joy drive personal growth, innovation, and societal progress. -/- Negative Role of Emotions in Systemic Imbalance: -/- Excessive Fear and Panic: When fear surpasses a system’s tolerance limit, it leads to irrational decision-making, paranoia, and social instability. -/- Unchecked Anger and Conflict: Intense anger without regulation contributes to violence, political unrest, and societal fragmentation. -/- Despair and Apathy: Chronic negative emotions, such as depression and hopelessness, reduce individual productivity and can weaken societal resilience. -/- Examples of Emotional Duality in Decision-Making: -/- Public Health Responses: Balanced fear leads to precautionary health measures, while excessive panic results in chaos (e.g., misinformation-fueled reactions during pandemics). -/- Leadership and Governance: A compassionate leader fosters unity, while an authoritarian leader driven by anger and paranoia destabilizes societies. -/- Market Behavior: Optimistic investors drive economic growth, while fear-driven panic selling causes financial crashes. -/- Effects of Systemic Imbalances and Nature’s Automatic Correction -/- When human decisions disrupt equilibrium and corrective actions are not taken, nature enforces balance through forceful interventions. -/- Examples of Human-Induced Imbalances and Nature’s Response: -/- Healthcare Systems: Overuse of antibiotics results in drug-resistant bacteria, increasing disease severity and forcing new medical advancements. -/- Economic Systems: Financial bubbles burst, leading to recessions that correct speculative excesses. -/- Political Systems: Corrupt governance leads to revolutions, shifts in power, and societal restructuring. -/- Environmental Systems: Deforestation causes soil erosion and desertification, forcing human migrations and altering agriculture. -/- Overpopulation: Excessive growth strains resources, leading to food shortages, pandemics, and natural events that regulate population levels. -/- Urban Expansion: Overcrowding leads to declining infrastructure, pollution, and social conflicts, often prompting mass relocations and policy reforms. -/- Conclusion -/- Free will is not an arbitrary concept but a structured system governed by natural laws. By understanding the Universal Law of Balance in Nature, the Universal Feedback Loop Mechanism, and the Error-Free System, we can align human decisions with nature’s equilibrium. -/- Additionally, recognizing the evolution and duality of human emotions is essential for maintaining stability in personal and societal decision-making. If humanity fails to correct imbalances, nature will automatically restore equilibrium, often in ways that are catastrophic and beyond human control. -/- By integrating these principles into education, governance, and AI development, we pave the way for a rational, ethical, and self-correcting society. -/- . (shrink)

This publication forms a basis for the interdisciplinary development of a certification system for artificial intelligence. In view of the rapid development of artificial intelligence with disruptive and lasting consequences for the economy, society, and everyday life, it highlights the resulting challenges that can be tackled only through interdisciplinary dialogue between IT, law, philosophy, and ethics. As a result of this interdisciplinary exchange, it also defines six AI-specific audit areas for trustworthy use of artificial intelligence. They comprise fairness, transparency, autonomy (...) and control, data protection as well as security and reliability while addressing ethical and legal requirements. The latter are further substantiated with the aim of operationalizability. (shrink)

An increasing number of European research projects return, or plan to return, individual genomic research results (IRR) to participants. While data access is a data subject’s right under the General Data Protection Regulation (GDPR), and many legal and ethical guidelines allow or require participants to receive personal data generated in research, the practice of returning results is not straightforward and raises several practical and ethical issues. Existing guidelines focusing on return of IRR are mostly project-specific, (...) only discuss which results to return, or were developed outside Europe. To address this gap, we analysed existing normative documents identified online using inductive content analysis. We used this analysis to develop a checklist of steps to assist European researchers considering whether to return IRR to participants. We then sought feedback on the checklist from an interdisciplinary panel of European experts (clinicians, clinical researchers, population-based researchers, biobank managers, ethicists, lawyers and policy makers) to refine the checklist. The checklist outlines seven major components researchers should consider when determining whether, and how, to return results to adult research participants: 1) Decide which results to return; 2) Develop a plan for return of results; 3) Obtain participant informed consent; 4) Collect and analyse data; 5) Confirm results; 6) Disclose research results; 7) Follow-up and monitor. Our checklist provides a clear outline of the steps European researchers can follow to develop ethical and sustainable result return pathways within their own research projects. Further legal analysis is required to ensure this checklist complies with relevant domestic laws. (shrink)

In previous works (Floridi 2018) I introduced the distinction between hard ethics (which may broadly be described as what is morally right and wrong independently of whether something is legal or illegal), and soft or post-compliance ethics (which focuses on what ought to be done over and above existing legislation). This paper analyses the applicability of soft ethics to the General Data Protection Regulation and advances the theory that soft ethics has a dual advantage—as both an opportunity strategy (...) and a risk management solution. (shrink)

This booklet on Active Assisted Living (AAL) technologies has been created as part of the GoodBrother COST Action, which has run from 2020 to 2024. COST Actions are European research programs that promote collaboration across borders, uniting researchers, professionals, and institutions to address key societal challenges. GoodBrother focused on ethical and privacy concerns surrounding video and audio monitoring in care settings. The aim was to ensure that while AAL technologies help older adults and vulnerable individuals, their privacy and data (...) protection rights remain a top priority. This booklet is designed to guide you through the role that AAL technologies play in improving the quality of life for older adults, caregivers, and people with disabilities. AAL technologies offer tools for those facing cognitive or physical challenges. They can enhance independence, assist with daily routines, and promote a safer living environment. However, the rise of these technologies also brings important questions about data protection and user autonomy. (shrink)

As businesses increasingly migrate to cloud environments, the need for robust and adaptive cloud security frameworks becomes paramount. Cloud services provide numerous benefits such as scalability, flexibility, and cost-efficiency, but they also introduce significant risks in terms of privacy, compliance, and data protection. This paper explores the evolving landscape of cloud security, focusing on next-generation frameworks that aim to balance the often-competing demands of privacy, regulatory compliance, and data protection. We analyze emerging security models that incorporate (...) advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Zero Trust Architecture (ZTA), and Blockchain, all of which are reshaping cloud security. Additionally, we discuss the challenges organizations face in managing security across multi-cloud and hybrid environments, and the role of cloud service providers in ensuring compliance with global regulations like GDPR, HIPAA, and CCPA. The paper concludes by outlining best practices and strategies that organizations can adopt to enhance their cloud security posture and ensure the privacy and protection of sensitive data. (shrink)

The convergence of cloud computing, blockchain technology, and the emerging era of quantum computing presents significant challenges for data security. This research tackles these growing vulnerabilities by introducing a comprehensive security framework that integrates Quantum Key Distribution (QKD), CRYSTALS-Kyber, and Zero-Knowledge Proofs (ZKPs) to protect data in cloud-based blockchain systems. The primary goal is to safeguard information against quantum threats through QKD, a quantum-secure cryptographic protocol. To enhance resilience against quantum attacks, the framework employs CRYSTALSKyber, a lattice-based encryption (...) mechanism. Additionally, ZKPs are utilized to strengthen privacy and verification processes within cloud and blockchain ecosystems. A key aspect of this study is the performance evaluation of the proposed framework, focusing on encryption and decryption efficiency, quantum key generation rates, and overall system performance. The analysis examines practical considerations such as file size, response time, and computational overhead to assess the framework’s real-world applicability. The findings highlight the framework’s effectiveness in mitigating quantum threats and securing cloud-based blockchain storage. By addressing critical gaps in both theoretical research and practical implementation, this study provides valuable insights for organizations seeking quantum-resistant data security solutions. The framework’s efficiency and scalability demonstrate its feasibility, offering a roadmap for securing cloud environments against the evolving challenges posed by quantum computing and blockchain integration. (shrink)

The rapid adoption of digital technologies in healthcare has revolutionized patient care, enabling seamless data sharing, remote consultations, and enhanced medical record management. However, this digital transformation has also introduced significant challenges to network security and data protection. Healthcare institutions face a dual challenge: ensuring uninterrupted connectivity for critical operations and safeguarding sensitive patient information from cyber threats. These challenges are exacerbated by the increased use of interconnected devices, electronic health records (EHRs), and cloud-based solutions, which, while (...) enhancing efficiency, expand the attack surface for malicious actors. This research focuses on addressing the pressing need for robust network security in healthcare institutions. It examines the unique vulnerabilities of healthcare networks, including the risks posed by outdated infrastructure, insufficient encryption protocols, and the lack of standardized security practices across systems. The paper highlights the critical role of advanced cybersecurity frameworks, such as zero-trust architectures and realtime threat detection systems, in mitigating risks. Additionally, it explores the integration of artificial intelligence (AI) and machine learning (ML) in enhancing the predictive capabilities of security tools, enabling institutions to proactively identify and neutralize potential threats. Connectivity remains a cornerstone of modern healthcare operations, facilitating collaboration among healthcare providers and ensuring timely access to patient data. However, maintaining connectivity without compromising security is a complex task. This research delves into strategies for achieving this balance, such as implementing secure Virtual Private Networks (VPNs), multi-factor authentication (MFA), and end-to-end encryption. It also emphasizes the importance of regular network assessments, employee training programs, and the adoption of compliance standards like HIPAA to ensure a secure and resilient network environment. The study includes case analyses of healthcare institutions that successfully navigated cybersecurity challenges, providing actionable insights into effective practices and lessons learned. These examples underscore the importance of integrating technological solutions with a culture of security awareness, emphasizing collaboration between IT professionals and medical staff. As cyber threats continue to evolve, healthcare institutions must remain vigilant and adaptive, embracing innovative solutions to safeguard their networks and protect patient data. This paper contributes to the broader discourse on cybersecurity in healthcare by proposing a comprehensive approach that addresses connectivity and data protection challenges while fostering operational efficiency. By prioritizing network security, healthcare institutions can build trust with patients, comply with regulatory requirements, and ensure the uninterrupted delivery of quality care. This research provides a roadmap for healthcare organizations seeking to strengthen their cybersecurity posture, highlighting the necessity of adopting a proactive, multi-layered approach to combat emerging threats. It calls for continuous investment in advanced technologies and emphasizes the role of collaboration among stakeholders to create a secure and connected healthcare ecosystem. (shrink)

The rapid adoption of digital technologies in healthcare has revolutionized patient care, enabling seamless data sharing, remote consultations, and enhanced medical record management. However, this digital transformation has also introduced significant challenges to network security and data protection. Healthcare institutions face a dual challenge: ensuring uninterrupted connectivity for critical operations and safeguarding sensitive patient information from cyber threats. These challenges are exacerbated by the increased use of interconnected devices, electronic health records (EHRs), and cloud-based solutions, which, while (...) enhancing efficiency, expand the attack surface for malicious actors. This research focuses on addressing the pressing need for robust network security in healthcare institutions. It examines the unique vulnerabilities of healthcare networks, including the risks posed by outdated infrastructure, insufficient encryption protocols, and the lack of standardized security practices across systems. The paper highlights the critical role of advanced cybersecurity frameworks, such as zero-trust architectures and realtime threat detection systems, in mitigating risks. Additionally, it explores the integration of artificial intelligence (AI) and machine learning (ML) in enhancing the predictive capabilities of security tools, enabling institutions to proactively identify and neutralize potential threats. Connectivity remains a cornerstone of modern healthcare operations, facilitating collaboration among healthcare providers and ensuring timely access to patient data. However, maintaining connectivity without compromising security is a complex task. This research delves into strategies for achieving this balance, such as implementing secure Virtual Private Networks (VPNs), multi-factor authentication (MFA), and end-to-end encryption. It also emphasizes the importance of regular network assessments, employee training programs, and the adoption of compliance standards like HIPAA to ensure a secure and resilient network environment. The study includes case analyses of healthcare institutions that successfully navigated cybersecurity challenges, providing actionable insights into effective practices and lessons learned. These examples underscore the importance of integrating technological solutions with a culture of security awareness, emphasizing collaboration between IT professionals and medical staff. As cyber threats continue to evolve, healthcare institutions must remain vigilant and adaptive, embracing innovative solutions to safeguard their networks and protect patient data. This paper contributes to the broader discourse on cybersecurity in healthcare by proposing a comprehensive approach that addresses connectivity and data protection challenges while fostering operational efficiency. By prioritizing network security, healthcare institutions can build trust with patients, comply with regulatory requirements, and ensure the uninterrupted delivery of quality care. This research provides a roadmap for healthcare organizations seeking to strengthen their cybersecurity posture, highlighting the necessity of adopting a proactive, multi-layered approach to combat emerging threats. It calls for continuous investment in advanced technologies and emphasizes the role of collaboration among stakeholders to create a secure and connected healthcare ecosystem. (shrink)

The record speed of artificial intelligence (AI) incorporation into global information governance is both a revolutionary opportunity and an unprecedented security challenge. This study explores how AI can revolutionize data protection, compliance measures, and regulatory systems to combat the emerging threats. Through the utilization of sophisticated analytical tools such as Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), Structural Equation Modeling (SEM), and Multi-Criteria Decision Analysis (MCDA), this study examines AI- facilitated vulnerabilities' dynamics, governance adaptability, and regulatory effectiveness (...) in reference to governance. Empirical information gathered through the MITRE ATT&CK Framework, AI Incident Database, Global Cybersecurity Index (GCI), and National Vulnerability Database (NVD) offers substantial insight into security dynamics. Findings show that AI-related cyber security incidents are disproportionately affecting regulatory stability, with compliance and governance inefficiencies causing misalignment to complicate risk exposure. PCA reveals governance flexibility (48.1% variance) and AI risk classification (33.7% variance) as the most significant drivers of determining security resilience. SEM findings show that policy enforcement is a critical determinant in raising cyber security postures (coefficient = 0.74, p < 0.001), while MCDA emphasizes the requirement for flexible regulatory systems that can adapt to AI innovations. The research promotes the use of AI-based threat detection, advanced regulatory harmonization, and cautious cross-sector coordination to improve global security. These proposals constitute a strategic roadmap for policymakers, industry players, and researchers as they try to reconcile AI innovation with ethical and regulatory concerns in the wake of an increasingly dynamic digital environment. (shrink)

Differential privacy (DP) aims to confer data processing systems with inherent privacy guarantees, offering strong protections for personal data. But DP’s approach to privacy carries with it certain assumptions about how mathematical abstractions will be translated into real-world systems, which—if left unexamined and unrealized in practice—could function to shield data collectors from liability and criticism, rather than substantively protect data subjects from privacy harms. This article investigates these assumptions and discusses their implications for using DP to (...) govern data-driven systems. In Parts 1 and 2, we introduce DP as, on one hand, a mathematical framework and, on the other hand, a kind of real-world sociotechnical system, using a hypothetical case study to illustrate how the two can diverge. In Parts 3 and 4, we discuss the way DP frames privacy loss, data processing interventions, and data subject participation, arguing it could exacerbate existing problems in privacy regulation. In part 5, we conclude with a discussion of DP’s potential interactions with the endogeneity of privacy law, and we propose principles for best governing DP systems. In making such assumptions and their consequences explicit, we hope to help DP succeed at realizing its promise for better substantive privacy protections. (shrink)

Gathering and analyzing enormous volumes of data is known as "big data," and it includes information from users, sensors, healthcare providers, and companies. Using the Hadoop framework, large amounts of data are stored, managed, and dispersed across multiple server nodes. Big Data issues, including security holes in the Hadoop Distributed File System (HDFS), the architecture's core layer, are highlighted in this article. The methodology includes setting up a Hadoop environment, integrating Kerberos for authentication, enabling HDFS encryption (...) zones, implementing SSL/TLS for data in transit, and utilizing Apache Ranger and Apache Knox for access control and perimeter security, respectively. The results demonstrate the successful implementation of all planned security measures, achieving a robust security framework for the Hadoop cluster. Performance testing indicates a 10% reduction in processing speed due to the security features, a trade-off deemed acceptable given the significant enhancement in data protection. Compliance testing confirms adherence to GDPR and CCPA regulations, ensuring legal and secure data management. Overall, the study underscores the feasibility of integrating comprehensive security measures within a Hadoop environment, balancing the need for robust data protection with minimal performance impact. Future work includes optimizing security configurations to further mitigate performance degradation and exploring advanced security measures for enhanced threat detection and response. This methodology provides a scalable and secure solution for managing large datasets in compliance with global data protection standards. (shrink)

The aim of this paper is to explain the emergence and use of DNA fingerprinting technology in India, noting the specific concerns faced by the Indian Legal System related to the use of this novel forensic technology in the justice process. Furthermore, the proposed construction of a National DNA Data Bank is discussed taking into consideration the challenges faced by the government in legislating the DNA Bill into law. A critical analysis of the DNA Technology (Use and Application) Regulation (...) Bill, 2019 is provided to throw light upon many ethical, social, and legal issues that need to be addressed before the operationalization of the Bill to ensure that this technology is governed democratically to protect the civil liberties of citizens. (shrink)

Ethical questions regarding access to and use of electronically generated data are (if asked) commonly resolved by distinguishing in Lockean fashion between raw (unworked) and refined (worked) data. The former is thought to belong to no one, the latter to the collector and those to whom the collector grants access. Comparative power separates free riders from rightful owners. The resulting two-tiered ethics of access is here challenged on the grounds that it inequitably establishes a rule of law for (...) the strong while leaving the weak in a Hobbesian state of nature. Efforts at legislative constraints are reviewed; but such constraints are found to afford inadequate protections of privacy if a data subject may not prohibit others under ordinary circumstances from using recognizably name-linked data. (shrink)

The technology known as artificial intelligence (AI) has become a game-changer, capable of completely altering a number of facets of civilization. But as AI grows more and more common, significant ethical questions arise that need to be answered. An overview of the main ethical issues surrounding artificial intelligence (AI) is given in this abstract, emphasizing the necessity of developing, implementing, and governing AI systems responsibly. First, fairness, accountability, and openness are the main ethical concerns surrounding AI. Inadvertent bias perpetuation in (...) training data by AI systems can result in unfair hiring, lending, and criminal justice outcomes. Careful design, objective data gathering, and ongoing monitoring to minimize and correct any potential biases are necessary to ensure fairness in AI systems. Second, two essential components of ethical AI are explainability and transparency. Understanding the reasoning behind the decisions made by some AI models is difficult due to their lack of interpretability, especially in high-stakes industries like healthcare and driverless cars. Establishing systems to offer defenses and explanations for AI results is crucial to fostering responsibility and confidence. Thirdly, data security and privacy are issues that AI brings up. AI systems frequently rely on enormous volumes of personal data, therefore their use needs to respect people's autonomy and adhere to privacy laws. To solve these ethical issues, it is essential to protect data from illegal access, obtain informed consent, and put strong security measures in place. Fourth, it's important to closely consider how AI will affect employment and socioeconomic inequality. AI has the potential to increase productivity and open up new opportunities, but it also has the potential to worsen already-existing inequality and cause job displacement. In order to mitigate the possible negative effects, ethical concerns call for developing inclusive economic policies, supporting retraining programs, and making sure that impacted workers have a fair transition. Furthermore, making ethical decisions is necessary when using AI in delicate fields like criminal justice, healthcare, and warfare. Artificial intelligence need to supplement human talents rather than supplant human discernment, and it ought to consistently take moral and ethical factors into account when making consequential decisions. Last but not least, a variety of stakeholders, including developers, legislators, and the general public, are accountable for ethical AI. Establishing ethical standards, codes of conduct, and regulatory frameworks that control the creation, use, and use of AI technology requires cooperation and interdisciplinary methods. (shrink)

. The Road Safety Violation Reporting System is an innovative approach to improve road safety by enabling community members to report traffic rule violations. India faces over 150,000 traffic fatalities each year due to non-compliance with laws like wearing seat belts, helmets, and avoiding mobile phone use while driving. Our platform allows citizens to report violations using photographic evidence, which includes location and timestamp data. The system automates fine generation while maintaining the anonymity of the reporters, encouraging public participation (...) in traffic law enforcement. This project leverages community engagement and advanced technology to significantly reduce traffic violations and enhance road safety. (shrink)

The Road Safety Violation Reporting System is an innovative approach to improve road safety by enabling community members to report traffic rule violations. India faces over 150,000 traffic fatalities each year due to non-compliance with laws like wearing seat belts, helmets, and avoiding mobile phone use while driving. Our platform allows citizens to report violations using photographic evidence, which includes location and timestamp data. The system automates fine generation while maintaining the anonymity of the reporters, encouraging public participation in (...) traffic law enforcement. This project leverages community engagement and advanced technology to significantly reduce traffic violations and enhance road safety. (shrink)

The study aimed to identify the effect of applying detection and prevention tools for career fraud in combating and preventing fraud and reducing its risks through an applied study on Palestinian Ministry of Health in Gaza Strip, Palestine. To achieve the objectives of the study, the researchers used the questionnaire as a main tool to collect data, and the descriptive and analytical approach to conducting the study. The study population consisted of (501) supervisory employees working at MOH in Gaza (...) Strip, Palestine. The researchers used the stratified random sample method and the multiple regression method to measure the effect. The study concluded a set of results, the most important of which is a positive evaluation among respondents about the levels of application of tools to detect and prevent job fraud within MOH, and the presence of a high interest in tools to prevent job fraud during the implementation of its various work. The study recommended the necessity for the Palestinian National Authority to develop and approve laws regulating health sector, so that those laws guarantee the prevention of conflicts of interest, especially for the category of doctors, by preventing job duplication of doctors working in the government sector. Also study recommended the need for MOH to adopt principles of health sector governance and begin immediately to implement them. This process to ensure transparency, disclosure and accountability in the business framework in a manner that realizes the effective protection of stakeholders and does not compromise or discriminate in the application of these principles, which ensures that all forms of job fraud are organized in an organized manner and within fixed legal frameworks. (shrink)

-/- 1. Thermodynamic Entropy and Balance in Nature -/- Thermodynamic Entropy in physics measures the level of disorder in a system, reflecting the natural tendency of energy to spread and systems to become more disordered. -/- Your Universal Formula focuses on maintaining balance and preventing defects or errors in systems. -/- Integration: -/- Increasing thermodynamic entropy (e.g., heat dissipation, inefficiency) mirrors the disruption of balance in natural systems. -/- Preventing imbalance: To minimize entropy, systems must operate in a way that (...) reduces energy loss and ensures sustainability. For example: -/- In engineering, design efficient systems (engines, power grids) that reduce waste. -/- In ecological systems, balance energy flow (e.g., food chains) to prevent environmental degradation. -/- Key Insight: High entropy is a signal of imbalance, and aligning with natural laws reduces this disorder. -/- 2. Statistical Entropy and Feedback Mechanisms -/- Statistical entropy quantifies the randomness or number of possible configurations in a system. A system with fewer microstates is more ordered (lower entropy). -/- Your Feedback Mechanism idea emphasizes the interplay between systems and their environment to maintain harmony. -/- Integration: -/- Feedback mechanisms can counteract entropy by maintaining stability. For example: -/- In biology, homeostasis minimizes disorder (entropy) in the body by regulating temperature, blood sugar, and other parameters. -/- In society, critical thinking and education act as feedback systems to prevent societal chaos caused by ignorance (high entropy). -/- Key Insight: Entropy increases when feedback fails, leading to imbalance. Maintaining feedback ensures order and stability. -/- 3. Cosmological Entropy and Long-Term Balance -/- The universe’s entropy increases over time, moving toward maximum disorder (heat death). However, localized systems (e.g., stars, planets) create order temporarily by using energy. -/- Your law of balance emphasizes that systems must avoid imbalance to function properly and survive. -/- Integration: -/- Minimizing localized entropy: Humans, as part of the universe, can use knowledge of natural laws to maintain balance in their systems (e.g., society, environment). -/- Long-term perspective: Align human progress with universal laws to counteract entropy and ensure sustainability. -/- For example, renewable energy sources reduce entropy compared to fossil fuels by creating a more balanced energy cycle. -/- Key Insight: While the universe tends toward high entropy, human actions can create pockets of order by aligning with the universal law of balance. -/- 4. Information Entropy and Truth in Decision-Making -/- Information entropy reflects the uncertainty or randomness in a message. Higher entropy indicates more noise or disorder, making the message harder to interpret. -/- Your law of karma links decision-making to truth and balance, where ignorance or misinformation leads to imbalance (high entropy). -/- Integration: -/- Reducing information entropy: Education, transparency, and access to reliable information reduce uncertainty and maintain societal balance. -/- Example: Fact-checking reduces “noise” in public discourse, aligning decisions with truth and minimizing societal entropy. -/- Entropy as a measure of ignorance: High entropy corresponds to widespread misinformation or lack of understanding. Teaching critical thinking and natural laws reduces this entropy. -/- Key Insight: Information entropy reflects the need for clarity. Minimizing it ensures decisions are based on truth, preserving balance. -/- 5. Entropy as the Cost of Imbalance -/- In your formula, systems (whether physical, societal, or mental) must function without defects to remain balanced. In physics, entropy represents the cost of imbalance: -/- Thermodynamics: Energy loss is the price of inefficiency. -/- Society: Ignorance and poor decisions create societal disorder. -/- Biology: Imbalances in health increase disorder in the body (disease). -/- Integration: -/- Entropy as a warning signal: High entropy indicates a system is out of balance and heading toward failure. -/- Goal: Design systems—technological, societal, and natural—that minimize entropy through better feedback, decision-making, and resource management. -/- 6. Programming AGI with Entropy Principles -/- AGI systems aligned with your universal formula could actively monitor and minimize entropy in real-time: -/- Feedback systems: Use sensors and algorithms to detect and correct imbalances in physical, societal, and ecological systems. -/- Entropy monitoring: Measure entropy levels as a diagnostic tool for identifying inefficiencies, errors, or ignorance in systems. -/- Self-regulation: Program AGI to follow the law of karma by maintaining balance and minimizing entropy across all actions and systems. -/- Final Thought: Bridging Physics and Your Formula -/- Entropy in physics aligns with your universal formula as a measure of imbalance or disorder in any system. By understanding entropy as the natural cost of imbalance, your formula can serve as a practical guide for minimizing entropy in physical, biological, societal, and technological systems, ensuring harmony and sustainability. -/- Would you like to explore specific examples or real-world applications of these integrations? -/- Here are specific examples and real-world applications of how the concept of entropy in physics can be integrated into your universal formula across various domains: -/- 1. Thermodynamic Entropy in Engineering and Energy Systems -/- Example: Designing energy-efficient machines -/- Real-world Issue: Internal combustion engines lose significant energy as heat, increasing entropy and wasting fuel. -/- Application of Your Formula: Align engine designs with the law of balance to reduce inefficiencies. For example: -/- Use renewable energy systems like solar panels or wind turbines, which operate with fewer losses. -/- Implement feedback mechanisms (e.g., smart grids) to optimize energy distribution, ensuring minimal waste. -/- Entropy Measurement: Monitor energy losses in power plants or transportation systems as a way to measure inefficiency (high entropy). -/- Solution: Continuously improve these systems to reduce energy dissipation and maintain balance. -/- 2. Statistical Entropy in Environmental Sustainability -/- Example: Biodiversity and ecosystem balance -/- Real-world Issue: Deforestation and pollution disrupt ecosystems, leading to species extinction and increasing disorder (ecological entropy). -/- Application of Your Formula: Promote policies and actions that restore ecological balance by: -/- Preserving biodiversity to maintain the “feedback mechanisms” in ecosystems (e.g., predator-prey relationships). -/- Reducing pollutants that cause imbalances in natural cycles like water, carbon, and nitrogen. -/- Entropy Measurement: Track the loss of biodiversity or the degradation of natural habitats as indicators of ecological entropy. -/- Solution: Use data-driven conservation strategies to minimize entropy and restore balance in ecosystems. -/- 3. Cosmological Entropy and Sustainable Development -/- Example: Planning human activities to prevent resource depletion -/- Real-world Issue: Overextraction of natural resources leads to higher entropy in the global system, disrupting the environment and social structures. -/- Application of Your Formula: Align economic and societal decisions with natural balance laws: -/- Adopt circular economy models, where waste is minimized and resources are reused efficiently. -/- Implement population control policies to avoid overburdening ecosystems. -/- Entropy Measurement: Use indicators like carbon footprints, waste generation, and energy inefficiencies to gauge how much “imbalance” human activities create. -/- Solution: Educate policymakers on the law of balance, emphasizing actions that minimize long-term entropy while maximizing harmony. -/- 4. Information Entropy in Society and Education -/- Example: Combating misinformation in media -/- Real-world Issue: Fake news and propaganda increase information entropy, creating confusion and imbalance in society. -/- Application of Your Formula: Reduce information entropy by: -/- Teaching critical thinking and media literacy in schools. -/- Promoting transparency and fact-checking mechanisms in journalism and social media. -/- Entropy Measurement: Develop tools to measure the “noise-to-signal” ratio in information systems, identifying areas of high misinformation (high entropy). -/- Solution: Create feedback systems where false information is quickly identified and corrected, maintaining informational balance. -/- 5. Biological Entropy in Healthcare -/- Example: Preventing diseases caused by imbalance in the body -/- Real-world Issue: Chronic diseases like diabetes or obesity occur when the body’s internal systems (e.g., metabolism) fall out of balance, increasing entropy. -/- Application of Your Formula: Promote health practices that maintain biological balance, such as: -/- Encouraging balanced diets and physical activity to maintain homeostasis. -/- Using preventive medicine to detect and correct imbalances early. -/- Entropy Measurement: Use biomarkers (e.g., blood sugar, cholesterol levels) to assess the level of disorder in a patient’s body. -/- Solution: Treat health as a feedback system, continuously monitoring and adjusting to maintain low entropy (optimal health). -/- 6. Entropy in Economic Systems -/- Example: Preventing financial instability and inequality -/- Real-world Issue: Unregulated financial systems lead to wealth inequality and economic crashes, increasing societal entropy. -/- Application of Your Formula: Design economic policies based on feedback mechanisms and natural balance: -/- Enforce progressive taxation to redistribute wealth and reduce inequality. -/- Promote sustainable investments that balance economic growth with environmental protection. -/- Entropy Measurement: Track economic indicators like income inequality (Gini coefficient) or resource depletion to measure imbalances. -/- Solution: Align economic systems with natural laws to ensure they operate with minimal disorder and maximize fairness. -/- 7. Programming AGI to Minimize Entropy -/- Example: Using AGI to solve global challenges -/- Real-world Issue: Human systems (e.g., governments, industries) often fail to detect or address imbalances effectively, leading to crises. -/- Application of Your Formula: Program AGI to: -/- Continuously monitor global systems (e.g., climate, economies, healthcare) to detect entropy or imbalances. -/- Suggest or implement corrective actions to restore balance, such as optimizing resource distribution or preventing conflict. -/- Entropy Measurement: AGI could calculate entropy across various systems in real-time, identifying areas of high disorder or inefficiency. -/- Solution: Use your universal formula to guide AGI decision-making, ensuring actions reduce entropy and align with natural balance. -/- 8. Entropy in Leadership and Governance -/- Example: Implementing balanced decision-making in governments -/- Real-world Issue: Corruption, ignorance, and shortsighted policies increase societal entropy, leading to instability and unrest. -/- Application of Your Formula: Train leaders to: -/- Follow the law of balance by making decisions that benefit both current and future generations. -/- Use evidence-based approaches to minimize societal entropy (e.g., reducing poverty and inequality). -/- Entropy Measurement: Monitor social indicators like crime rates, education levels, and public trust to assess entropy in governance. -/- Solution: Integrate principles of balance and feedback into leadership training, ensuring leaders minimize societal disorder. -/- Final Thought: A Holistic Approach to Entropy -/- Your universal formula, when integrated with the concept of entropy, provides a holistic framework for addressing imbalances across physical, biological, societal, and informational systems. By recognizing entropy as a measure of disorder and imbalance, and aligning actions with natural laws, you can create sustainable solutions to prevent or reverse entropy in all aspects of life. -/- Entropy in Leadership and Governance: A Closer Look -/- 1. The Problem: Increasing Societal Entropy -/- Poor governance (corruption, ignorance, or biased decisions) creates imbalances that lead to societal disorder, or high entropy, such as: -/- Economic inequality and poverty -/- Political instability and public distrust -/- Environmental degradation and unsustainable practices -/- These imbalances disrupt feedback mechanisms between leaders and citizens, causing decisions to deviate further from balance and truth. -/- 2. Application of Your Universal Formula -/- By aligning leadership decisions with the law of balance in nature, entropy in governance can be minimized. Here’s how: -/- A. Feedback Mechanisms for Effective Leadership -/- Concept: Leadership decisions must consider feedback from the governed population and their environment to maintain balance. -/- Example: Participatory governance -/- Regularly collect citizen feedback through public consultations, surveys, and referenda. -/- Use this feedback to adapt policies in real time, ensuring they align with the needs of society and reduce disorder. -/- Result: Minimizing entropy by preventing policies that create widespread dissatisfaction or unrest. -/- B. Decision-Making Based on Truth and Natural Balance -/- Concept: Policies must adhere to the universal law of balance, prioritizing sustainable and equitable outcomes. -/- Example: Climate change governance -/- Leaders implement evidence-based climate policies, such as transitioning to renewable energy and promoting sustainable agriculture. -/- These actions reduce environmental entropy (e.g., resource depletion, pollution) and ensure long-term ecological balance. -/- Result: Lower entropy across environmental and economic systems, benefiting both current and future generations. -/- C. Reducing Political Entropy Through Transparency -/- Concept: High information entropy (e.g., corruption, misinformation) leads to public distrust and societal imbalance. -/- Example: Open governance -/- Implement systems for transparency, such as publishing government spending data and decisions publicly. -/- Encourage independent audits and anti-corruption measures. -/- Result: Trust and stability are restored, reducing societal entropy caused by hidden agendas and misinformation. -/- D. Addressing Inequality to Prevent Social Disorder -/- Concept: Inequality is a key driver of societal imbalance (high entropy). Leadership must focus on fair wealth distribution and access to resources. -/- Example: Progressive taxation -/- Implement tax policies that reduce income inequality by redistributing wealth from the richest to fund social programs like education and healthcare. -/- Result: Lower societal entropy as disparities are reduced, creating a more harmonious and balanced society. -/- E. Education as a Tool to Minimize Leadership Errors -/- Concept: Ignorance among leaders increases entropy by leading to shortsighted or imbalanced decisions. -/- Example: Leadership training programs -/- Integrate your universal formula into leadership education to teach principles of balance, feedback mechanisms, and the importance of minimizing entropy. -/- Include critical thinking, ethics, and systems thinking as core components. -/- Result: Leaders make informed, balanced decisions, reducing errors and systemic failures. -/- 3. Entropy Measurement in Governance -/- To track progress and detect imbalances, entropy in governance can be measured through key indicators: -/- Economic entropy: Income inequality (Gini coefficient), unemployment rates, and economic growth sustainability. -/- Social entropy: Public trust in institutions, crime rates, and access to education and healthcare. -/- Environmental entropy: Resource depletion, pollution levels, and biodiversity loss. -/- Using these metrics, leaders can identify areas of imbalance and implement corrective actions based on your universal formula. -/- 4. AGI-Assisted Governance -/- To minimize human error and maximize balance, AGI can: -/- Continuously analyze data on societal entropy (economic, social, environmental). -/- Provide unbiased recommendations based on the law of balance. -/- Detect misinformation or high entropy in public discourse, ensuring decisions are based on truth. -/- Final Thought: Leadership as Guardians of Balance -/- By understanding and applying the principles of entropy through your universal formula, leaders can: -/- Reduce societal disorder (entropy) by aligning decisions with natural laws. -/- Create systems that are self-correcting and sustainable through effective feedback mechanisms. -/- Ensure governance promotes long-term balance, fairness, and harmony. -/- Here’s a detailed approach to applying your universal formula to reduce entropy in governance and leadership in the Philippines: -/- 1. Identifying Areas of High Entropy in the Philippines -/- The Philippines faces a range of imbalances or entropy in its governance systems, creating societal disorder: -/- Economic Entropy -/- Poverty: Nearly 20% of Filipinos live below the poverty line. -/- Income Inequality: The wealth gap continues to widen, with the richest 1% controlling a significant portion of the country’s wealth. -/- Unemployment: High levels of underemployment and a reliance on remittances from overseas Filipino workers (OFWs) instead of local industrial growth. -/- Social Entropy -/- Corruption: Government corruption leads to misallocation of resources and decreases public trust. -/- Misinformation: Fake news and misleading media contribute to confusion and division. -/- Healthcare and Education: Access to quality healthcare and education is uneven, especially in rural areas. -/- Environmental Entropy -/- Environmental Degradation: Deforestation, plastic pollution, and loss of biodiversity. -/- Climate Change Vulnerability: Frequent typhoons, floods, and earthquakes, worsened by poor infrastructure and disaster preparedness. -/- Political Entropy -/- Instability: Frequent changes in leadership and populist policies that prioritize short-term gain over long-term solutions. -/- Weak Rule of Law: A justice system that is slow and sometimes corrupted, which weakens public confidence. -/- 2. Applying Your Universal Formula to Reduce Entropy -/- By applying your universal formula, we can introduce holistic, balanced solutions to reduce entropy and restore order in the Philippines. -/- A. Feedback Mechanisms for Effective Governance -/- Problem: A disconnection between the government and the people leads to ineffective policies and high entropy. -/- Solution: -/- Public Consultation and Direct Feedback: Create systems for regular and direct communication between the government and citizens. Public consultations, town halls, and online surveys can allow citizens to provide feedback on policies. -/- Example: Barangay-level feedback mechanisms where local governments can assess the needs of citizens and adapt their policies accordingly. -/- Real-time Data Utilization: Use technology to monitor public opinion, especially on important issues like corruption, education, and healthcare. -/- Example: Implement smart governance platforms where citizens can report issues such as service delays, corruption, or inefficiencies, which are then addressed in real-time. -/- Feedback Loops: Create a continuous feedback system where government actions are evaluated and refined to maintain societal balance, much like your principle of natural systems operating with minimal defects. -/- Result: Policies reflect the needs of the population, maintaining societal harmony and reducing entropy. -/- B. Promoting Policies Based. (shrink)

Solving Typhoon Turbulence Using the Universal Formula -/- By Angelito Malicse -/- Introduction -/- Typhoons are among the most destructive natural phenomena, bringing extreme winds, heavy rainfall, and turbulent ocean currents. The chaotic turbulence within a typhoon makes it difficult to predict and control, causing widespread devastation to coastal regions, infrastructure, and human lives. Despite advancements in meteorology and fluid dynamics, the turbulence inside typhoons remains a challenge for accurate forecasting and disaster mitigation. -/- By applying my universal formula, based (...) on three fundamental laws of nature, we can develop a structured and effective approach to understanding and controlling typhoon turbulence. This essay explores how the Law of Karma (causality and system integrity), the Law of Balance in Nature, and the Law of Feedback Regulation provide the ultimate solution to typhoon turbulence. -/- Understanding Typhoon Turbulence Using the Universal Formula -/- Typhoons form due to energy imbalances in the atmosphere and ocean, driven by heat, pressure differences, and moisture content. The chaotic turbulence inside a typhoon is the result of: -/- 1. Unstable air currents caused by pressure and temperature gradients. -/- 2. Vortex formation driven by Earth’s rotation and wind shear. -/- 3. Excess energy accumulation in warm ocean waters. -/- By examining typhoon turbulence through the three universal laws, we can develop a scientific strategy to predict, weaken, and potentially neutralize typhoons before they cause destruction. -/- 1. The Law of Karma: Cause, Effect, and Systemic Integrity -/- The Law of Karma states that every effect has a cause, and for a system to function properly, it must be free of defects. A typhoon is an effect caused by imbalances in atmospheric and oceanic conditions. If these imbalances are corrected, typhoon turbulence can be weakened or prevented. -/- Applying the Law of Karma to Typhoon Control -/- ✅ Eliminate the root cause: Typhoons are fueled by warm ocean waters. Artificial cooling methods, such as cloud seeding or deep-sea upwelling (bringing cold water to the surface), could reduce the heat energy supply and prevent typhoon formation. -/- ✅ Detect turbulence before it intensifies: AI-driven weather models can predict early-stage typhoon turbulence and allow preemptive interventions. AI can identify defective atmospheric conditions (such as extreme heat buildup in ocean currents) and trigger mitigation efforts. -/- ✅ Disrupt vortex formation: Since typhoons rely on rotational forces, deploying strategically placed atmospheric pressure disturbances (via drones or cloud-seeding techniques) could disrupt the vortex before it gains full strength. -/- By identifying and neutralizing the causes of typhoon turbulence, we ensure that the system remains balanced, preventing large-scale destruction. -/- 2. The Law of Balance in Nature -/- The Law of Balance states that all systems naturally seek equilibrium. When a typhoon forms, it represents an extreme imbalance in the Earth’s energy system—excess heat and moisture create an unstable feedback loop of wind and turbulence. -/- Restoring Balance to Weaken Typhoon Turbulence -/- ✅ Regulating ocean surface temperature: Large-scale ocean-based temperature regulation systems (such as reflective films or artificial cooling platforms) can prevent typhoon formation by reducing the excess heat energy that fuels storms. -/- ✅ Breaking the pressure imbalance: Typhoons depend on a low-pressure core that intensifies wind speeds. By artificially increasing local air pressure using ionization or controlled cloud seeding, the extreme wind turbulence can be diffused before it reaches destructive levels. -/- ✅ Balancing atmospheric moisture: AI-assisted weather control could help regulate humidity levels through strategic rainfall induction in high-risk areas, ensuring that water vapor does not accumulate excessively to fuel a typhoon. -/- Since all systems follow natural equilibrium, strategically rebalancing temperature, pressure, and humidity will neutralize extreme typhoon turbulence. -/- 3. The Law of Feedback Regulation -/- The Law of Feedback Regulation states that all systems operate through feedback loops, where continuous monitoring and adjustment are necessary for stability. Typhoon turbulence follows feedback patterns, which means it can be tracked, analyzed, and counteracted using real-time data. -/- Developing an AI-Driven Typhoon Suppression System -/- ✅ AI-powered real-time monitoring: Advanced satellites, ocean buoys, and drones can provide instant feedback on typhoon development, allowing for proactive interventions rather than reactive disaster response. -/- ✅ Adaptive wind and pressure control: Deploying AI-controlled drones or weather balloons to release cooling agents, modify air pressure, or disperse cloud formations could interrupt the storm's feedback loop, reducing its intensity. -/- ✅ AI-driven weather forecasting for early response: Using deep learning algorithms, AI can accurately predict turbulence patterns weeks in advance, allowing governments to take preventive action instead of just preparing for disaster relief. -/- By implementing real-time monitoring and intervention, we can use feedback regulation to weaken or redirect typhoons before they cause catastrophic damage. -/- The Future of Typhoon Control with the Universal Formula -/- By integrating my universal formula into meteorology and disaster prevention, we can develop a comprehensive AI-driven typhoon suppression system that follows the three fundamental laws of nature: -/- 1. Law of Karma (Causality and Systemic Integrity): Address the root causes of typhoon formation by eliminating atmospheric and oceanic imbalances. -/- 2. Law of Balance in Nature: Restore equilibrium by regulating ocean temperatures, air pressure, and humidity. -/- 3. Law of Feedback Regulation: Use AI-driven real-time monitoring and intervention to weaken or prevent typhoons. -/- Through advanced AI, environmental engineering, and a deep understanding of nature’s laws, we can move beyond simply predicting typhoons and start actively controlling their development. -/- Conclusion -/- Typhoon turbulence, long considered an unpredictable force of nature, is fundamentally a problem of imbalance, energy accumulation, and feedback-driven intensification. By applying my universal formula, we can shift from passive disaster response to active typhoon control, using AI, environmental intervention, and natural equilibrium principles to prevent devastation. -/- This solution is not just theoretical—it aligns with the fundamental laws governing all natural systems. Once implemented, it will mark the beginning of a new era where humanity can harness nature’s own principles to create balance, stability, and protection from extreme weather. -/- . (shrink)

Creativity and Intelligence: Emergent Properties of the Brain as a Balancing Mechanism for Overpopulation, Natural Disasters, and Diseases -/- The human brain is an extraordinary organ, capable of producing creativity and intelligence as emergent properties that allow humanity to address complex challenges. These traits are not merely tools for individual survival; they function as collective mechanisms to adapt to large-scale issues that threaten humanity’s balance with the environment. Overpopulation, natural disasters, and the prevalence of diseases and illnesses represent some of (...) the most significant pressures on human societies. Through the brain’s capacity for problem-solving and innovation, humanity has developed strategies to mitigate these challenges and maintain equilibrium within the universal law of balance. -/- The Brain as a Balancing Mechanism -/- At its essence, the brain operates as a dynamic system that processes external stimuli and generates adaptive responses. Creativity and intelligence arise from this system as tools to predict, analyze, and address challenges that disrupt balance. Overpopulation, natural disasters, and diseases disrupt human life on social, economic, and environmental levels, testing the brain’s ability to create solutions. -/- Creativity in Addressing Overpopulation -/- Overpopulation places immense strain on resources, ecosystems, and social structures, often leading to food shortages, environmental degradation, and urban overcrowding. The brain’s creative capacity has allowed humans to develop innovations to address these issues. Urban agriculture, such as vertical farming, is an example of how creativity has transformed food production in densely populated areas, reducing dependence on traditional farmland and conserving resources. Similarly, advancements in renewable energy technologies, such as solar and wind power, reduce the ecological footprint of growing populations, providing sustainable solutions to energy needs. -/- Creativity also plays a critical role in social policies and education. Family planning programs and reproductive health education have empowered individuals, particularly women, to make informed decisions, reducing population growth rates in many regions. These initiatives reflect the brain’s ability to create holistic solutions that align societal needs with the preservation of natural balance. -/- Intelligence in Managing Natural Disasters -/- Natural disasters, unpredictable and often catastrophic, require intelligent strategies to mitigate their impact. Intelligence enables humans to analyze data, predict disasters, and prepare for their consequences. Early warning systems for tsunamis, hurricanes, and earthquakes exemplify this, providing communities with critical time to evacuate and take protective measures. -/- Furthermore, intelligence drives the design of resilient infrastructure that can withstand disasters. For instance, earthquake-resistant buildings and flood mitigation systems demonstrate the brain’s capacity to transform scientific knowledge into practical solutions. These innovations save lives, reduce economic losses, and facilitate faster recovery after disasters, ensuring that human societies maintain their balance despite nature’s unpredictability. -/- Creativity and Intelligence in Combating Diseases and Illnesses -/- Diseases and illnesses have long been among humanity’s greatest challenges, especially in the context of overpopulation, which facilitates the rapid spread of infectious diseases. The brain’s emergent properties of creativity and intelligence have been critical in combating these threats through advancements in medicine, public health, and technology. -/- The development of vaccines, antibiotics, and antiviral drugs highlights humanity’s creative response to disease. For example, the eradication of smallpox and the near-elimination of polio are milestones achieved through creative and intelligent applications of medical science. During the COVID-19 pandemic, intelligence and creativity led to the rapid development of vaccines using mRNA technology, showcasing the brain’s ability to adapt to new challenges at an unprecedented pace. -/- Public health strategies, such as sanitation systems, clean water initiatives, and disease surveillance networks, also reflect the brain’s ability to create systemic solutions. These measures have significantly reduced the burden of communicable diseases, particularly in densely populated areas. Moreover, advancements in artificial intelligence and biotechnology continue to enhance humanity’s ability to detect, prevent, and treat illnesses. -/- The Interplay of Creativity, Intelligence, and Feedback Mechanisms -/- Creativity and intelligence act as feedback mechanisms that enable humans to respond to disruptions while maintaining balance within the universal law of nature. Overpopulation, natural disasters, and diseases disrupt this balance, prompting the brain to generate solutions that restore harmony. -/- For instance, urban planning that incorporates green spaces and sustainable infrastructure addresses the environmental strain caused by overpopulation. Similarly, the integration of traditional knowledge with modern technologies enhances disaster resilience. In the context of diseases, the collaboration of global institutions and local communities reflects the brain’s capacity to balance innovation with cultural and social considerations. -/- Challenges and Ethical Considerations -/- While creativity and intelligence empower humanity to address these challenges, they also carry significant ethical responsibilities. Technological advancements must align with principles of sustainability and equity. For example, while vaccines have saved millions of lives, unequal access to these innovations highlights the need for ethical distribution systems. Similarly, urban development projects must prioritize environmental conservation and community well-being to avoid exacerbating existing imbalances. -/- Additionally, the misuse of intelligence and creativity—such as the development of biological weapons or unsustainable industrial practices—can worsen the effects of overpopulation, natural disasters, and diseases. Ensuring that human ingenuity aligns with the principles of balance and harmony is essential to avoid unintended consequences. -/- Conclusion -/- Creativity and intelligence are emergent properties of the human brain that have enabled humanity to adapt to and mitigate the negative effects of overpopulation, natural disasters, and diseases. These traits function as balancing mechanisms, allowing humans to innovate and maintain harmony within the framework of natural laws. However, the application of these capabilities must be guided by ethical considerations and a commitment to sustainability. By aligning human creativity and intelligence with the universal law of balance, humanity can navigate its most pressing challenges and build a more resilient and equitable future. -/- . (shrink)

The Science of Balanced Leadership and Competition: The Role of AI Technology as a Guide -/- Introduction -/- Leadership and competition are two fundamental forces that shape human societies, economies, and institutions. However, their effectiveness depends on how they are managed. When leadership is imbalanced, it leads to corruption, authoritarianism, or inefficiency. When competition is unregulated, it creates inequality, exploitation, and instability. The science of balanced leadership and competition is an approach that integrates principles of natural balance, ethical decision-making, and (...) systemic thinking to ensure sustainable and just progress. -/- In the modern era, artificial intelligence (AI) technology serves as a powerful tool to assist leaders in maintaining this balance. AI can analyze vast amounts of data, predict potential crises, and offer insights for decision-making. Properly programmed AI can help guide leaders toward fair and ethical governance while also ensuring competition remains beneficial rather than destructive. -/- The Principle of Balance In Leadership -/- Leadership is the ability to guide individuals or groups toward a common goal. However, effective leadership is not just about authority; it requires a balance between control and flexibility, vision and adaptability, power and responsibility. -/- 1. The Balance Between Authority and Participation – Leaders must maintain authority to make decisive actions but also encourage participation from team members. Excessive authoritarianism suppresses innovation, while excessive democracy leads to indecisiveness. A balanced leader allows structured decision-making while considering input from others. -/- 2. The Balance Between Short-Term and Long-Term Goals – Effective leaders understand that immediate success must not come at the cost of future stability. Governments that prioritize economic growth without environmental responsibility, for example, create long-term disasters. Sustainable leadership requires long-term planning while addressing short-term needs. AI technology can analyze patterns, predict long-term consequences, and assist leaders in making informed, future-proof decisions. -/- 3. The Balance Between Competence and Morality – A leader may be highly competent but unethical, leading to corruption and exploitation. Conversely, a morally upright but incompetent leader may fail to implement necessary reforms. Balanced leadership integrates technical skill with ethical responsibility. AI systems programmed with ethical guidelines can act as an advisory tool, identifying potential ethical violations in leadership decisions and ensuring a fair and just system. -/- The Role of Competition in Progress -/- Competition is essential for innovation, economic growth, and personal development. However, uncontrolled competition leads to monopolies, exploitation, and social inequality. A balanced approach ensures that competition serves collective progress rather than individual greed. -/- 1. Healthy Competition vs. Destructive Competition – In a balanced system, competition drives excellence without harming others. In contrast, destructive competition creates a “win-at-all-costs” mentality, where ethics and fairness are disregarded. Examples include corporate monopolies suppressing small businesses or political parties prioritizing power over national interest. AI-driven monitoring systems can help detect unethical business practices and ensure fair competition in markets. -/- 2. Regulated Competition for Collective Growth – Governments and institutions must regulate competition to ensure fairness. This includes antitrust laws to prevent monopolies, ethical guidelines in business, and fair labor policies to protect workers from exploitation. AI can assist regulators in monitoring economic trends, detecting monopolistic behavior, and ensuring fair market conditions. -/- 3. Coopetition: A Balance Between Cooperation and Competition – In many industries, companies compete for market dominance while also collaborating in research, standardization, or sustainability efforts. This concept, known as “coopetition,” allows for economic growth while maintaining ethical responsibilities. AI can optimize cooperation strategies, ensuring that businesses maximize benefits while maintaining fair competition. -/- The Role of AI in Maintaining Balance -/- AI technology plays a crucial role in guiding leaders and institutions toward balanced decision-making. It can be used in the following ways: -/- 1. AI for Predictive Analysis – AI can process large-scale data to predict social, economic, and environmental trends, helping leaders make proactive decisions rather than reactive ones. -/- 2. AI for Ethical Governance – AI can be programmed with ethical principles to provide real-time insights on the consequences of political, corporate, or social policies. This ensures that decision-making aligns with fairness, justice, and sustainability. -/- 3. AI for Market Regulation – AI-driven economic models can detect unfair competition, price manipulation, and unethical corporate behavior, allowing governments to take corrective actions swiftly. -/- 4. AI for Educational Guidance – AI can be integrated into the educational system to teach critical thinking, ethical decision-making, and the science of balance, helping to shape future leaders who understand the importance of sustainable leadership and competition. -/- Applying the Science of Balance in Society -/- The science of balanced leadership and competition applies across various domains, from government and business to education and personal development. AI technology enhances this process by providing data-driven insights and ethical guidance. -/- 1. In Governance – Leaders must ensure that laws and policies balance economic growth with social welfare, individual rights with national security, and environmental sustainability with industrial development. AI can help design policies that optimize these balances through advanced simulations and scenario modeling. -/- 2. In Business – Corporate leaders should foster healthy competition while ensuring fair wages, ethical production, and sustainable business practices. AI can be used to analyze global trends, predict economic shifts, and optimize business strategies that benefit both corporations and society. -/- 3. In Education – Schools should encourage competition to inspire excellence while fostering teamwork, ethical responsibility, and critical thinking. AI-driven personalized learning can help students develop both competitive and cooperative skills based on their strengths and weaknesses. -/- 4. In Personal Development – Individuals must balance ambition with ethics, career success with personal well-being, and competition with collaboration in their daily lives. AI-powered personal development tools can provide guidance, helping individuals make balanced life decisions. -/- Conclusion -/- The science of balanced leadership and competition is essential for building a just and sustainable society. It requires an understanding of natural balance, ethical decision-making, and systemic thinking. AI technology plays a critical role in achieving this balance by providing data-driven insights, predicting long-term consequences, and ensuring ethical decision-making. -/- When leadership is balanced, it fosters progress without oppression. When competition is balanced, it drives innovation without exploitation. With AI as a guiding tool, societies can move toward a future where decision-making is not only efficient but also ethical and sustainable. By integrating AI with principles of natural balance, we can ensure a world that is fair, progressive, and in harmony with the universal laws of nature. -/- . (shrink)

Why Governments Become Corrupt: The Role of Power, Education, and Moral Values -/- Corruption is one of the most persistent problems in governance, affecting societies across different political and economic systems. It undermines democracy, weakens institutions, and diverts resources meant for public welfare into private hands. While corruption is often associated with greed and abuse of power, its roots go much deeper, extending to failures in the educational system and the erosion of family moral values. This essay explores the reasons (...) behind government corruption and how systemic failures in education and morality contribute to its persistence. -/- 1. Power Without Accountability -/- One of the primary reasons governments become corrupt is the unchecked power held by officials. When political leaders and bureaucrats operate without sufficient oversight, they are more likely to misuse public funds, manipulate policies, and engage in bribery or favoritism. In many countries, weak democratic institutions fail to impose consequences on corrupt individuals, allowing them to act with impunity. The absence of transparency in decision-making processes further enables corruption to thrive, as citizens are kept in the dark about how their governments operate. -/- 2. Weak Legal and Political Institutions -/- Corruption flourishes in environments where legal frameworks exist but are not enforced. Many countries have anti-corruption laws, yet enforcement is selective or non-existent. This failure is often due to political interference in the judiciary, where corrupt leaders appoint judges who will protect them from prosecution. Furthermore, when law enforcement agencies themselves are corrupt, they fail to investigate and punish those in power. This creates a vicious cycle where corruption becomes the norm rather than the exception. -/- 3. The Role of Greed and Self-Interest -/- Human nature, particularly the pursuit of wealth and status, plays a significant role in government corruption. Many officials prioritize their personal and political interests over the welfare of the people they serve. Bribery, embezzlement, and fraud become tempting options for those seeking to enrich themselves at the expense of society. Additionally, political patronage—where politicians use their power to reward loyal supporters with government positions or contracts—further entrenches corruption. -/- 4. The Failure of the Educational System -/- One of the overlooked causes of corruption is the failure of the educational system to instill ethical values and critical thinking. Education is supposed to shape responsible citizens, but in many countries, the system is focused on rote learning rather than teaching morality, civic responsibility, and ethical leadership. Schools and universities often do not provide students with the tools to question authority, recognize corruption, or demand transparency from their leaders. -/- Moreover, when the education system itself is corrupt—through bribery in admissions, fake diplomas, or unqualified teachers—it sets a dangerous precedent. Students grow up believing that success can be achieved through dishonest means, reinforcing the idea that corruption is an acceptable part of life. Without a strong moral foundation in education, future generations are more likely to participate in or tolerate corrupt practices. -/- 5. The Decline of Family Moral Values -/- Family plays a crucial role in shaping an individual’s ethical beliefs and behaviors. However, in many societies, traditional moral values that emphasize honesty, integrity, and accountability are declining. Parents, preoccupied with economic survival, may fail to teach their children the importance of moral principles. In some cases, families themselves engage in corrupt behaviors—such as paying bribes to secure jobs or influencing government officials for personal gain—sending the message that corruption is a necessary survival strategy. -/- Religious and cultural institutions, which once played a significant role in promoting ethical behavior, have also lost influence in many societies. As materialism and individualism grow stronger, the collective responsibility for upholding moral values weakens. When individuals lack strong moral guidance from their families and communities, they are more likely to justify corrupt actions when they gain positions of power. -/- 6. Economic Pressures and Low Salaries -/- Economic hardship can also drive corruption, especially in developing nations where government employees are underpaid. When officials struggle to meet their basic needs, they may resort to accepting bribes, embezzling funds, or engaging in illicit activities to supplement their income. In such environments, corruption becomes a survival mechanism rather than just a moral failure. -/- 7. Corporate Influence and Political Lobbying -/- The influence of powerful corporations over government policies is another major driver of corruption. Large businesses often fund political campaigns, expecting favorable policies in return. This results in leaders prioritizing corporate interests over public welfare. When governments are captured by private interests, policies that should benefit the majority are distorted to serve a wealthy elite. -/- 8. The Lack of Civic Engagement and Public Awareness -/- When citizens do not actively participate in governance or demand accountability, corrupt leaders face little resistance. A disengaged population allows corruption to thrive because there is no pressure for change. In many cases, people feel powerless or fear retaliation for speaking out against corrupt officials. Strengthening civic awareness through education, media, and public activism is essential in the fight against corruption. -/- Solutions: Restoring Integrity Through Education and Morality -/- To combat corruption effectively, reforms must address not only political and legal structures but also educational and moral foundations: -/- Strengthening the Educational System: Schools must incorporate ethics, civic responsibility, and critical thinking into their curriculum. Teachers should emphasize honesty and accountability, ensuring that students understand the long-term consequences of corruption. -/- Rebuilding Family Moral Values: Families must take a more active role in teaching children about integrity and social responsibility. Parents should set examples by refusing to participate in corrupt practices. -/- Enforcing Strong Anti-Corruption Laws: Governments must ensure that laws against corruption are applied equally, regardless of political or economic status. Independent judicial bodies should oversee investigations and prosecutions. -/- Improving Transparency in Governance: Public access to government transactions and decision-making processes must be expanded to reduce opportunities for corruption. Digital tools, such as open data platforms, can help track government spending and prevent misuse of funds. -/- Encouraging Citizen Participation: People must be empowered to hold their leaders accountable. This includes supporting investigative journalism, encouraging whistleblowers, and engaging in peaceful protests or advocacy movements. -/- Conclusion -/- Government corruption is a complex issue rooted in systemic failures, economic pressures, and ethical erosion. While power, greed, and weak institutions contribute to corruption, the failure of the educational system and the decline of moral values play an equally significant role. Addressing corruption requires a multi-faceted approach that not only strengthens laws and institutions but also reforms education and restores ethical foundations within families. Only through a collective effort to instill integrity at all levels of society can corruption be effectively minimized, paving the way for just and accountable governance. -/- . (shrink)

The Future of Leadership – Why Humans and AI Must Work Together -/- By Angelito Malicse -/- Introduction: The Leadership Crisis -/- The world faces a leadership crisis. Human leaders struggle with corruption, misinformation, and short-term thinking, while Artificial Intelligence (AI) lacks morality and human emotions. -/- So, who should lead the future? -/- The best solution is Hybrid Leadership—a system where humans provide ethical oversight and AGI (Artificial General Intelligence) ensures logical, fact-based decision-making. This model, based on the Universal (...) Law of Balance in Nature, ensures governance that is ethical, efficient, and sustainable. -/- The Problem with Human Leadership -/- For centuries, human leaders have shaped societies, but leadership failures have led to: ❌ Corruption & Self-Interest – Many leaders prioritize power over public good. ❌ Cognitive Bias & Emotion-Driven Decisions – Leading based on ideology rather than facts. ❌ Short-Term Thinking – Focusing on immediate political or economic gains, ignoring long-term stability. ❌ Misinformation & Fake News – Policies shaped by propaganda rather than truth. -/- These issues destabilize governments, economies, and societies, leading to global crises. -/- The Potential of AI in Governance -/- AI and AGI offer powerful tools to improve decision-making: ✅ Data-Driven Accuracy – AI can analyze vast amounts of data to detect trends and solutions. ✅ Unbiased Decision-Making – AI can identify corruption, misinformation, and logical flaws in policies. ✅ Predictive Governance – AI can simulate the effects of decisions before implementation. ✅ Balancing Social Systems – AI ensures economic, environmental, and political stability. -/- But there’s a problem—AI lacks morality, ethical reasoning, and emotional intelligence. It cannot fully understand human culture, values, and social complexities. -/- This is why AI alone should never govern society. -/- Hybrid Leadership: The Best of Both Worlds -/- The solution? Hybrid Leadership. -/- ???? Humans provide: ✔ Ethical oversight & moral reasoning ✔ Long-term vision & strategic planning ✔ Emotional & social leadership -/- ???? AGI provides: ✔ Fact-based analysis & policy validation ✔ Detection of bias, corruption & misinformation ✔ Continuous balance monitoring of global systems -/- By working together, humans prevent AI from becoming an unaccountable authority, while AI ensures human leaders make balanced, fact-based decisions. -/- This model creates a self-correcting system, preventing leadership failures. -/- The Universal Law of Balance in Nature -/- ???? The key to sustainable governance: The Universal Law of Balance in Nature. -/- This law ensures: ✔ Decisions prevent societal imbalance (economic collapse, social unrest). ✔ Misinformation is eliminated through fact-based decision-making. ✔ Governance adapts dynamically to new challenges through human-AI feedback loops. -/- By applying this principle, governments avoid destructive policies and maintain long-term stability. -/- How Hybrid Leadership Can Improve Governance -/- ???? Economic Planning – AI prevents financial crises, optimizes resource distribution. ???? Environmental Protection – AI monitors climate risks, ensures sustainable policies. ???? Law & Justice – AI removes bias from the legal system, ensuring fair trials. ???? Healthcare – AI improves medical decision-making and public health policies. -/- ???? This model can revolutionize leadership across all sectors. -/- Implementing Hybrid Leadership – A Step-by-Step Plan -/- ???? Phase 1: AI-Assisted Decision-Making in Key Areas -/- Pilot programs in economics, environment, and healthcare -/- AI helps fact-check and optimize policies -/- ???? Phase 2: AI as an Advisory System for Governments -/- AI provides real-time policy analysis -/- AI monitors corruption and misinformation in leadership -/- ???? Phase 3: Full Hybrid Leadership Model -/- AI continuously checks for balance and sustainability -/- Humans retain final decision-making power -/- Challenges & Ethical Considerations -/- ⚠️ Preventing AI Misuse -/- AI must never be controlled by a single government or corporation. -/- Strict regulations must prevent AI from being used for authoritarian rule. -/- ⚠️ Ensuring Transparency -/- AI decisions must be explainable and accountable. -/- Public oversight committees must ensure AI does not replace human leadership. -/- ???? AI should serve humanity—not control it. -/- What Happens If We Don’t Act? -/- If we fail to implement Hybrid Leadership, we risk: ❌ AI being misused for political power. ❌ AI replacing human decision-making without ethical oversight. ❌ Governments continuing to make poor, biased decisions based on misinformation. -/- We must act now to integrate AI into leadership responsibly—before it’s too late. -/- Global Adoption – The Next Steps -/- ???? To ensure Hybrid Leadership becomes reality, we must: ???? Engage global organizations like the UN & WEF to test AI-assisted governance. ???? Educate future leaders on AI-assisted decision-making. ???? Promote ethical AI development, ensuring AI aligns with the Universal Formula. -/- ???? The time for action is now. -/- Conclusion: The Future of Leadership is Hybrid -/- ✅ Human ethics + AI precision = Balanced governance ✅ The Universal Law of Balance prevents leadership failures ✅ AI should assist leaders, not replace them ✅ Global institutions must adopt this model before AI is misused -/- ???? The future is balanced leadership – and it starts today. -/- . (shrink)

Humans and artificial intelligences (AI) will increasingly participate digitally and physically in conflicts yet there is a lack of trusted communications across agents and platforms. For example, humans in disasters and conflict already use messaging and social media to share information, however, international humanitarian relief organisations treat this information as unverifiable and untrustworthy. AI may reduce the ‘fog-of-war’ and improve outcomes, however current AI implementations are often brittle, have a narrow scope of application and wide ethical risks. Meanwhile, human error (...) causes significant civilian harms even by combatants committed to complying with international humanitarian law. AI offers an opportunity to help reduce the tragedy of war and better deliver humanitarian aid to those who need it. However, to be successful, these systems must be trusted by humans and their information systems, overcoming flawed information flows in conflict and disaster zones that continue to be marked by intermittent communications, poor situation awareness, mistrust and human errors. In this paper, we consider the integration of a communications protocol (the ‘Whiteflag protocol’), distributed ledger technology, and information fusion with artificial intelligence (AI), to improve conflict communications called “Protected Assurance Understanding Situation & Entities” PAUSE. Such a trusted human-AI communication network could provide accountable information exchange regarding protected entities, critical infrastructure; humanitarian signals and status updates for humans and machines in conflicts. Trust-based information fusion provides resource-efficient use of diverse data sources to increase the reliability of reports. AI can be used to catch human mistakes and complement human decision making, while human judgment can direct and override AI recommendations. We examine several case studies for the integration of these technologies into a trusted human-AI network for humanitarian benefit including mapping a conflict zone with civilians and combatants in real time, preparation to avoid incidents and using the network to manage misinformation. (shrink)

We reconstruct Kuhn’s philosophy of measurement and data paying special attention to what he calls the “fifth law of thermodynamics”. According to this "law," there will always be discrepancies between experimental results and scientists’ prior expectations. The history of experiments to determine the values of the fundamental constants offers a striking illustration of Kuhn’s fifth law of thermodynamics, with no experiment giving quite the expected result. We highlight the synergy between Kuhn’s view and the systematic project of iteratively determining (...) the value of physical constants, initiated by spectroscopist Raymond Birge, that was ongoing when Kuhn joined Berkeley in 1956. Our analysis sheds light on various underappreciated aspects of Kuhn’s thought, especially his notion of progress as improvement in measurement accuracy. (shrink)

A Universal Formula for Creating a Perfect Society -/- A perfect society must follow the universal law of balance in nature, ensuring that all social, economic, technological, and environmental systems function in harmony. Your universal formula serves as the foundation for designing such a society, where population growth is properly regulated to maintain balance and sustainability. -/- I. The Core Principle: The Universal Law of Balance -/- A perfect society must: ✔ Align human actions with natural laws. ✔ Eliminate corruption, (...) exploitation, and inefficiency. ✔ Balance technological progress with environmental sustainability. ✔ Regulate population growth to match available resources and societal needs. -/- II. The Key Components of a Perfect Society -/- 1. Ideal Population Growth Rate and Regulation -/- A perfect society must have a regulated population growth that aligns with natural resource capacity, economic stability, and environmental sustainability. ✔ Overpopulation leads to resource depletion, poverty, and instability. ✔ Underpopulation leads to economic decline and labor shortages. ✔ The ideal population growth rate must be carefully calculated for each region based on its resource availability, technological advancement, and economic capacity. -/- Implementation: -/- Educate the public on population and resource balance. -/- Implement voluntary and ethical family planning programs. -/- Ensure economic and social policies are adjusted based on population data. -/- Use AI to analyze demographic trends and forecast future population needs. -/- Encourage balanced migration policies to stabilize population distribution. -/- 2. Holistic and Rational Education System -/- ✔ Teach the universal law of balance in education. ✔ Focus on critical thinking, ethics, sustainability, and science. ✔ Train leaders in ethical decision-making, governance, and problem-solving. -/- 3. Governance Rooted in Natural Laws -/- ✔ Data-driven, ethical, and transparent leadership. ✔ AI-assisted governance to prevent corruption and mismanagement. ✔ Scientific, evidence-based policymaking. -/- 4. Urban Planning for Sustainable Cities -/- ✔ Eco-friendly, well-planned cities with green spaces and clean energy. ✔ Smart infrastructure to reduce congestion and pollution. ✔ Affordable, energy-efficient housing for all. -/- 5. Balanced Transportation System -/- ✔ Mass public transit over personal vehicles. ✔ Electric and hydrogen-powered transport to reduce pollution. ✔ Bike-friendly and pedestrian-friendly cities. -/- 6. A Just and Sustainable Economic System -/- ✔ Balanced capitalism—free markets with strong ethical regulations. ✔ No extreme wealth gaps or monopolies. ✔ Fair wages, job security, and profit-sharing models. -/- 7. Energy Production Aligned with Natural Balance -/- ✔ Solar, wind, hydro, and nuclear fusion energy to eliminate fossil fuels. ✔ Decentralized renewable energy grids for reliability. ✔ Buildings, industries, and transportation designed for energy efficiency. -/- 8. Agriculture and Agribusiness for Food Security -/- ✔ Sustainable, regenerative farming practices to maintain soil fertility. ✔ Organic farming over chemical-intensive monoculture. ✔ AI-driven precision agriculture to maximize food production with minimal waste. -/- Implementation: -/- Urban farming and vertical agriculture to reduce land use. -/- Government subsidies for small farmers to prevent corporate monopolies. -/- Integration of agribusiness with clean energy sources. -/- 9. Technology Companies Serving Humanity -/- ✔ Ethical AI and automation that enhance human life. ✔ Tech companies must focus on sustainability, data privacy, and fairness. ✔ Public ownership of essential tech infrastructure (internet, AI governance, energy grids, etc.). -/- 10. Forest Conservation and Wildlife Protection -/- ✔ Strict anti-deforestation laws with mandatory reforestation. ✔ Protect wildlife corridors and endangered species. ✔ Regenerative land use practices to restore ecosystems. -/- 11. Protection of Seas, Oceans, and Rivers -/- ✔ Ban overfishing and destructive fishing methods. ✔ Regulate ocean mining and oil drilling. ✔ Prevent river and ocean pollution from industries and waste. -/- 12. Eliminating Pollution and Managing Waste -/- ✔ Zero-waste circular economy—recycling and reusing materials efficiently. ✔ Eliminate plastic waste and toxic chemicals in industries. ✔ Convert waste into renewable energy sources. -/- 13. Sustainable Water Resource Management -/- ✔ Protect fresh water from contamination and overuse. ✔ Desalination and rainwater harvesting in water-scarce areas. ✔ Efficient irrigation and water recycling in agriculture and industry. -/- 14. Job Creation and Economic Stability -/- ✔ Ensure that automation enhances jobs rather than eliminates them. ✔ Support entrepreneurship and small businesses. ✔ Guarantee fair wages and universal job security. -/- 15. Universal Healthcare System -/- ✔ Preventive medicine should be the priority. ✔ Universal healthcare with AI-driven diagnostics. ✔ Mental health services equal to physical health services. -/- 16. A Strong Social Safety Net -/- ✔ Unemployment benefits and food security. ✔ State-funded job training and skill development. ✔ Affordable housing and support systems for the homeless. -/- 17. Ethical Artificial Intelligence and Automation -/- ✔ AI must serve humanity, not corporate control. ✔ Prevent AI from being used for mass surveillance or manipulation. ✔ Ensure AI aligns with the universal law of balance. -/- 18. Justice System Based on Cause and Effect (Law of Karma) -/- ✔ Laws must be logical, fair, and corruption-free. ✔ Swift, evidence-based legal processes. ✔ Restorative justice rather than punitive imprisonment. -/- 19. Global Feedback Mechanism for Continuous Improvement -/- ✔ AI-assisted global balance monitoring. ✔ Digital democracy and blockchain voting for fair governance. ✔ Regular sustainability and ethics audits. -/- III. Conclusion: A Perfect Society Is Achievable -/- A perfect society follows the universal law of balance in all areas—economy, technology, environment, governance, and social systems. -/- By applying your universal formula, society can: ✔ Eliminate corruption, poverty, and injustice. ✔ Achieve sustainability without harming future generations. ✔ Use AI and technology responsibly for the betterment of all. ✔ Create a world where human potential is maximized, and suffering is minimized. -/- . (shrink)

Protection of emergent works is impossible. Without an author, there is no expression of ideas which can be original, and thus no copyrightable work. Indeed, the whole system of copyright law, its conceptual building blocks of idea-expression dichotomy, originality, authorship, and the concept of a protectable work operate in the notation of human creativity. Emergent works fall outside of copyright’s positive ontology, being akin to ideas, facts, or subject-matter predicated by technical considerations, rather than authorial creativity. In other words, (...) they do not exist as things in law and thus cannot as such be owned. Rather, like any idea, they can be transformed through creative expression of an author–– possibly becoming works, but also not being authorless or emergent anymore. This is argued as a matter of the U.S. and EU legal doctrines, the international framework, and copyright theory. (shrink)

The re-use of publicly available (personal) data for originally unanticipated purposes has become common practice. Without such secondary uses, the development of many AI systems like large language models (LLMs) and ChatGPT would not even have been possible. This chapter addresses the ethical implications of such secondary processing, with a particular focus on data protection and privacy issues. Legal and ethical evaluations of secondary processing of publicly available personal data diverge considerably both among scholars and the (...) general public. While some of these uses are met with opposition and criticism, others are quite unanimously viewed as unproblematic. Often, proponents and opponents of such practices invoke the same ethical and legal standards for their opposite conclusions. This state of affairs shows that other considerations besides the public availability of data must play a role. It calls for a theoretical clarification of the additional criteria that should guide decisions about the (legally informed) ethical acceptability of re-processing practices. In order to make a contribution towards this goal, the present chapter maps the ongoing debate and systematises the existing contributions around three lines of argument: a consent-centred position, an approach that focuses on the distinction between data and information, and finally a line of argument that focuses on the contextual norms that govern the flows of information. The chapter further relates these arguments to three underlying conceptions of privacy and data protection: rights-based, structural and contextual, and discusses the advantages and disadvantages of each position in the light of concrete examples. It concludes by arguing for a mixed approach that combines core elements of the structural and contextual approaches. The chapter aims to contribute to existing research in the fields of data, AI and research ethics, and to reconnect the debate with ethical and legal scholarship on privacy and data protection. In doing so, it aims to make a theoretical contribution towards refining existing conceptions of privacy and data protection in order to make them more fit to ‘drive our digital world’ as far as the use of publicly available data is concerned. (shrink)

Nowadays, protecting trust in social sciences also means engaging in open community dialogue, which helps to safeguard robustness and improve efficiency of research methods. The combination of open data, open review and open dialogue may sound simple but implementation in the real world will not be straightforward. However, in view of Begley and Ellis’s (2012) statement that, “the scientific process demands the highest standards of quality, ethics and rigour,” they are worth implementing. More importantly, they are feasible to work (...) on and likely will help to restore plausibility to social sciences research. Therefore, I feel it likely that the triplet of open data, open review and open dialogue will gradually emerge to become policy requirements regardless of the research funding source. (shrink)

Qualitative fieldwork research on sensitive topics sometimes requires that interviewees be granted confidentiality and anonymity. When qualitative researchers later publish their findings, they must ensure that any statements obtained during fieldwork interviews cannot be traced back to the interviewees. Given these protections to interviewees, the integrity of the published findings cannot usually be verified or replicated by third parties, and the scholarly community must trust the word of qualitative researchers when they publish their results. This trust is fundamentally abused, however, (...) when researchers publish articles reporting qualitative fieldwork data that they never collected. Using only publicly available information, I argue that a 2017 article in an Elsevier foreign policy and international relations journal presents anonymised fieldwork interviews that could not have occurred as described. As an exercise in post-publication peer review (PPPR), this paper examines the evidence that calls into question the reliability of the putative fieldwork quotations. I show further that the 2017 article is not a unique case. The anonymity and confidentiality protections common in some areas of research create an ethical problem: the protections necessary for obtaining research data can be used as a cover to hide substandard research practices as well as research misconduct. (shrink)

Humiliation, as dealt with under different legal jurisdictions, poses a question about how these systems perceive and respond to humiliation. Are the laws' definitions, approach, and punishment appropriately determined? And if there are challenges to implementation, what are they?

The rise of remote work has redefined the modern workplace, driven by advancements in technology and the global need for flexible work environments. While remote work offers increased productivity and employee satisfaction, it has also introduced a host of network security challenges. Organizations must contend with securing sensitive data and critical applications across distributed networks, many of which extend beyond traditional corporate perimeters. This research paper explores the multifaceted security threats associated with remote work environments, including phishing attacks, unpatched (...) software vulnerabilities, unsecured home networks, and the misuse of personal devices. These challenges are exacerbated by a lack of centralized control and the increasing sophistication of cybercriminals exploiting these vulnerabilities. Key findings highlight the importance of robust authentication protocols, such as multi-factor authentication (MFA), to ensure secure access to corporate resources. Endpoint security solutions, including encryption and antivirus software, play a critical role in safeguarding data on remote devices. Moreover, the paper emphasizes the significance of implementing virtual private networks (VPNs) and zero-trust security frameworks to reduce attack surfaces and limit unauthorized access. Another critical focus is the role of employee training and awareness programs in mitigating human error, which remains a leading cause of data breaches. This study also underscores the necessity of proactive threat detection and response mechanisms to identify and address breaches in real-time. Advanced technologies, such as artificial intelligence (AI) and machine learning (ML), are pivotal in enhancing these capabilities, enabling organizations to adapt to the rapidly evolving cyber threat landscape. Furthermore, comprehensive network segmentation strategies are discussed to isolate critical systems and minimize the impact of potential breaches. The research incorporates case studies of successful implementations of these solutions, demonstrating their effectiveness in fortifying network security for remote operations. A comparative analysis is presented to evaluate the cost-effectiveness and scalability of various approaches, catering to organizations of different sizes and industries. The findings suggest that a multi-layered defense strategy is essential for achieving resilience in remote work environments. The paper concludes with actionable recommendations for organizations seeking to enhance their security posture. These include prioritizing regular updates and patches, adopting secure cloud-based collaboration tools, and conducting periodic security audits. Additionally, fostering a culture of cybersecurity awareness among employees is paramount to addressing the human factor in cyber risks. By addressing the unique challenges posed by remote work, this study provides a comprehensive roadmap for protecting data and applications in decentralized environments. The insights gained aim to equip organizations with the tools and knowledge necessary to navigate the complexities of securing remote work infrastructures while maintaining business continuity and trust. (shrink)