With the development of sharing economy, a consensus to study this area from the perspective of morality and ethics has been recently reached. The key point of this study is the ethical basis of sharing economy. It should be noticed that the conceptual framework of sharing economy must be grounded within the market economy, technological innovation, and the spirit of "rational cooperation". It is, therefore, necessary to realize that the sharing economy is based on the Contractual Ethics internally (...) rooted in the market economy, the Technical Ethics which is coordinated with technological innovation, and the Universal Ethics produced by the cooperative reason. The three concept of ethics lay the ethical foundation of sharing economy together. (shrink)

As a response to climate change, geoengineering with solar radiation management has the potential to result in unjust harm. Potentially, this injustice could be ameliorated by providing compensation to victims of SRM. However, establishing a just SRM compensation system faces severe challenges. First, there is scientific uncertainty in detecting particular harmful impacts and causally attributing them to SRM. Second, there is ethical uncertainty regarding what principles should be used to determine responsibility and eligibility for compensation, as well as determining how (...) much compensation ought to be paid. Significant challenges loom for crafting a just SRM compensation system. (shrink)

Except in extraordinary circumstances, patients' clinical care should reflect their preferences. Incapacitated patients cannot report their preferences. This is a problem. Extant solutions to the problem are inadequate: surrogates are unreliable, and advance directives are uncommon. In response, some authors have suggested developing algorithmic "patient preference predictors" (PPPs) to inform care for incapacitated patients. In a recent paper, Earp et al. propose a new twist on PPPs. Earp et al. suggest we personalize PPPs using modern machine learning (ML) techniques. In (...) this paper, I argue that, contrary to Earp et al.'s claim, personalized patient preference predictors are neither technically feasible nor ethically desirable. (shrink)

We thank the commentators for their interesting and helpful feedback on our previously published target article (Svoboda and Irvine, 2014). One of our objectives in that article was to identify areas of uncertainty that would need to be addressed in crafting a just SRM compensation system. The commentators have indicated some possible ways of reducing such uncertainty. Although we cannot respond to all their points due to limitations of space, we wish to address here the more pressing criticisms the commentators (...) have offered. (shrink)

As the range of potential uses for Artificial Intelligence, in particular machine learning, has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between the theory (...) of AI ethics principles and the practical design of AI systems. In previous work, we analysed whether it is possible to close this gap between the ‘what’ and the ‘how’ of AI ethics through the use of tools and methods designed to help AI developers, engineers, and designers translate principles into practice. We concluded that this method of closure is currently ineffective as almost all existing translational tools and methods are either too flexible or too strict. This raised the question: if, even with technical guidance, AI ethics is challenging to embed in the process of algorithmic design, is the entire pro-ethical design endeavour rendered futile? And, if no, then how can AI ethics be made useful for AI practitioners? This is the question we seek to address here by exploring why principles and technical translational tools are still needed even if they are limited, and how these limitations can be potentially overcome by providing theoretical grounding of a concept that has been termed ‘Ethics as a Service.’. (shrink)

In recent years there has been growing interest in adapting virtue ethics to the ethics of technology. However, it has most typically been invoked to address some particular issue of moral importance, and there is only a limited range of works dealing with the methodological question of how virtue ethics may contribute to this field. My approach in this paper is threefold. I start with a brief discussion of Aristotelian virtue ethics, with a view to constructing (...) a framework in which to then address at least some of the aspects of the growing technicization of life that call for scrutiny. I subsequently proceed further by outlining three possible models of virtue-theoretical analysis within the ethics of technology, giving special attention to those changes in human agency where technicization can be seen to exert a significant influence. Finally, I focus on the third such possibility, the extended virtue model, as a basis for calling for a more inclusive account of moral agency. (shrink)

In order to strengthen RI in the private sector, it is imperative to understand how companies organise this process, where it takes place, and what considerations and motivations are central in the innovation process. In this chapter, the questions of whether and where normative considerations play a role in the innovation process, and whether dimensions of RI are present in the innovation process, are addressed. In order answer these research questions, a theoretical framework is developed based on Jones’s theory of (...) ethical decision making and Cooper’s stagegate model of innovation management. In order to answer the research questions, a specific case of innovations that contribute to public health is explored, namely, that of food companies that participate in a Front-of-Pack logo for healthier food. As the use of healthy food logos does not necessarily have a positive impact on sales and profits, it is expected that in the decision-making process, as part of their innovation process, companies make several trade-offs between economic, technical and moral factors. As the social-ethical values at stake in corporate innovation processes have remained to a large extent unexplored in research on innovation management, the aim of this chapter is to identify the motivations and barriers for companies embracing and continuing a FoP logo for healthier food, and to assess whether ethical considerations play a role in this innovation process. From the findings in this research, it will become clear that although the studied companies participated in a programme for healthy food and thus are responsive to the needs of society, and although the companies feel responsible for public health, ethical considerations do not play a central role in the operational innovation process. Instead, technical and economic considerations seem to prevail in the operational innovation process. Furthermore, none of the procedural dimensions of RI seems to be present at this level in the innovation trajectory. It is argued that this may be an indication that the ethical decision-making process for RI is not located at the level of the operational innovation process itself, but is something that might be located on a higher strategic level in the company. It is at this level that the moral decision is taken to adopt the FoP logo and to engage in the RI process. The findings cast a new light on the discourse on RI in general, and in the private sector in particular. (shrink)

Important decisions that impact humans lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making systems can improve efficiency and enable new solutions. However, these benefits are coupled with ethical challenges. For example, ADMS may produce discriminatory outcomes, violate individual privacy, and undermine human self-determination. New governance mechanisms are thus needed that help organisations design and deploy ADMS in ways that are ethical, while enabling society to reap the full economic and social benefits of (...) automation. In this article, we consider the feasibility and efficacy of ethics-based auditing as a governance mechanism that allows organisations to validate claims made about their ADMS. Building on previous work, we define EBA as a structured process whereby an entity’s present or past behaviour is assessed for consistency with relevant principles or norms. We then offer three contributions to the existing literature. First, we provide a theoretical explanation of how EBA can contribute to good governance by promoting procedural regularity and transparency. Second, we propose seven criteria for how to design and implement EBA procedures successfully. Third, we identify and discuss the conceptual, technical, social, economic, organisational, and institutional constraints associated with EBA. We conclude that EBA should be considered an integral component of multifaced approaches to managing the ethical risks posed by ADMS. (shrink)

While calls to integrate ethics into computer science education go back decades, recent high-profile ethical failures related to computing technology by large technology companies, governments, and academic institutions have accelerated the adoption of computer ethics education at all levels of instruction. Discussions of how to integrate ethics into existing computer science programmes often focus on the structure of the intervention—embedded modules or dedicated courses, humanists or computer scientists as ethics instructors—or on the specific content to be (...) included—lists of case studies and essential topics to cover. While proponents of computer ethics education often emphasize the importance of closely connecting ethical and technical content in these initiatives, most do not reflect in depth on the variety of ways in which the disciplines can be combined. In this paper, I deploy a framework from cross- disciplinary studies that categorizes academic projects that work across disciplines as multidisciplinary, interdisciplinary, or transdisciplinary, depending on the degree of integration. When applied to computer ethics education, this framework is orthogonal to the structure and content of the initiative, as I illustrate using examples of dedicated ethics courses and embedded modules. It therefore highlights additional features of cross-disciplinary teaching that need to be considered when planning a computer ethics programme. I argue that computer ethics education should aim to be at least interdisciplinary—multidisciplinary initiatives are less aligned with the pedagogical aims of computer ethics—and that computer ethics educators should experiment with fully transdisciplinary education that could transform computer science as a whole for the better. (shrink)

Artificial intelligence and robotics is pervasive in daily life and set to expand to new levels potentially replacing human decision-making and action. Self-driving cars, home and healthcare robots, and autonomous weapons are some examples. A distinction appears to be emerging between potentially benevolent civilian uses of the technology (eg unmanned aerial vehicles delivering medicines), and potentially malevolent military uses (eg lethal autonomous weapons killing human com- batants). Machine-mediated human interaction challenges the philosophical basis of human existence and ethical conduct. Aside (...) from technical challenges of ensuring ethical conduct in artificial intelligence and robotics, there are moral questions about the desirability of replacing human functions and the human mind with such technology. How will artificial intelligence and robotics engage in moral reasoning in order to act ethically? Is there a need for a new set of moral rules? What happens to human interaction when it is mediated by technology? Should such technology be used to end human life? Who bears responsibility for wrongdoing or harmful conduct by artificial intelligence and robotics? -/- Whilst Kant may be familiar to international lawyers for setting restraints on the use of force and rules for perpetual peace, his foundational work on ethics provides an inclusive moral philosophy for assessing ethical conduct of individuals and states and, thus, is relevant to discussions on the use and development of artificial intelligence and robotics. His philosophy is inclusive because it incorporates justifications for morals and legitimate responses to immoral conduct, and applies to all human agents irrespective of whether they are wrongdoers, unlawful combatants, or unjust enemies. Humans are at the centre of rational thinking, action, and norm-creation so that the rationale for restraints on methods and means of warfare, for example, is based on preserving human dignity as well as ensuring conditions for perpetual peace among states. Unlike utilitarian arguments which favour use of autonomous weapons on the basis of cost-benefit reasoning or the potential to save lives, Kantian ethics establish non-consequentialist and deontological rules which are good in themselves to follow and not dependent on expediency or achieving a greater public good. -/- Kantian ethics make two distinct contributions to the debate. First, they provide a human-centric ethical framework whereby human exist- ence and capacity are at the centre of a norm-creating moral philosophy guiding our understanding of moral conduct. Second, the ultimate aim of Kantian ethics is practical philosophy that is relevant and applicable to achieving moral conduct. -/- I will seek to address the moral questions outlined above by exploring how core elements of Kantian ethics relate to use of artificial intelli- gence and robotics in the civilian and military spheres. Section 2 sets out and examines core elements of Kantian ethics: the categorical imperative; autonomy of the will; rational beings and rational thinking capacity; and human dignity and humanity as an end in itself. Sections 3-7 consider how these core elements apply to artificial intelligence and robotics with discussion of fully autonomous and human-machine rule-generating approaches; types of moral reasoning; the difference be- tween ‘human will’ and ‘machine will’; and respecting human dignity. (shrink)

Modern philosophy recognizes two major ethical theories: deontology, which encourages adherence to rules and fulfillment of duties or obligations; and consequentialism, which evaluates morally significant actions strictly on the basis of their actual or anticipated outcomes. Both involve the systematic application of universal abstract principles, reflecting the culturally dominant paradigm of technical rationality. Professional societies promulgate codes of ethics with which engineers are expected to comply, while courts and the public generally assign liability to engineers primarily in accordance (...) with the results of their work, whether intended or unintended. A third option, prominent in ancient philosophy, has reemerged recently: virtue ethics, which recognizes that sensitivity to context and practical judgment are indispensable in particular concrete situations, and therefore rightly focuses on the person who acts, rather than the action itself. Beneficial character traits—i.e., virtues—are identified within a specific social practice in light of the internal goods that are unique to it. This paper proposes a comprehensive framework for implementing virtue ethics within engineering. (shrink)

Definition of the problem The umbrella term “explicability” refers to the reduction of opacity of artificial intelligence (AI) systems. These efforts are challenging for medical AI applications because higher accuracy often comes at the cost of increased opacity. This entails ethical tensions because physicians and patients desire to trace how results are produced without compromising the performance of AI systems. The centrality of explicability within the informed consent process for medical AI systems compels an ethical reflection on the trade-offs. Which (...) levels of explicability are needed to obtain informed consent when utilizing medical AI? Arguments We proceed in five steps: First, we map the terms commonly associated with explicability as described in the ethics and computer science literature, i.e., disclosure, intelligibility, interpretability, and explainability. Second, we conduct a conceptual analysis of the ethical requirements for explicability when it comes to informed consent. Third, we distinguish hurdles for explicability in terms of epistemic and explanatory opacity. Fourth, this then allows to conclude the level of explicability physicians must reach and what patients can expect. In a final step, we show how the identified levels of explicability can technically be met from the perspective of computer science. Throughout our work, we take diagnostic AI systems in radiology as an example. Conclusion We determined four levels of explicability that need to be distinguished for ethically defensible informed consent processes and showed how developers of medical AI can technically meet these requirements. (shrink)

Over the past few years we have seen an increasing number of legal proceedings related to inappropriately implemented technology. At the same time career paths have diverged from the foundation of statistics out to Data Scientist, Machine Learning and AI. All of these new branches being fundamentally branches of statistics and mathematics. This has meant that formal training has struggled to keep up with what is required in the plethora of new roles. Mathematics as a taught subject is still based (...) in decades old teaching specifications and has not been updated centrally as a curriculum to include new technologies, coding or ethics. This subject area is firmly split between ICT and Mathematics in secondary school, continuing on to be split between Computer Science and Mathematics at University. As we move forwards with technology we see these once seperate fields becoming increasingly intertwined. We propose that existing provision for concepts such as ethics and societal responsibility in analysis currently exist but have not been incorporated into the mainstream curriculum of School or University. This is partially due to the split between fields in an educational setting but also the speed with which education is able to keep up with Industry and its requirements. Principles and frameworks of socially responsible modelling beginning at school level means that ethics and real-life modelling are introduced much earlier than normal. Integrating these concepts with philosophical principles of society and politics ensures a suitable background for future modellers and users of technology to draw on. Modelling is currently undertaken in technical sciences at University but the Subject Benchmark Statements are not current (Subject Benchmark Statements describe the nature of study and the academic standards expected of graduates in specific subject areas. They show what graduates might reasonably be expected to know, do and understand at the end of their studies). Even in 2019 the UK did not yet have Benchmark Statements that discuss the learning to be done in Higher Education around AI and advanced Machine Learning. Where there is provision for AI and Data Science within degree courses ethics is not generally highlighted as a key concept. As such there can be a lack of focus on the teaching of modelling or ethics as specific skills. The skills required to use a basic statistical model, for example would not be sufficient to start from scratch and build an ethical model reflecting real-world scenarios with which to inform policy or organisational decision making. This is a skill in itself and includes such aspects as awareness of data quality, ethics, user implementation problems, context and an understanding of the environment that the model is being created in. As the field of analytics has progressed so quickly in the last decade modules such as those covering AI have simply been bolted on to Maths or Computing degrees rather than being fully detailed as key areas of study or driving new, more integrated courses of study. This paper posits that gaps at primary, secondary and tertiary educational levels need to be addressed. Implementing and integrating key concepts from school level is essential so that areas such as assumptions, caveats, quality assurance and answering the right questions with constructive challenge become a cultural fixture. This not only helps developers of technology but users of rapidly developing technology also. In addition, leadership and soft skills as part of this education will ensure that a cultural shift can take place and promote continuous improvement in analysis within organisations. The addition of key concepts throughout the educational system and the updating of potentially outdated curriculums is key to ensuring a functional society. A society where every citizen is a user of tech and those that develop it can be ethical and socially responsible in its development. (shrink)

The ML community recognizes the importance of anticipating and mitigating the potential negative impacts of benchmark research. In this position paper, we argue that more attention needs to be paid to areas of ethical risk that lie at the technical and scientific core of ML benchmarks. We identify overlooked structural similarities between human IQ and ML benchmarks. Human intelligence and ML benchmarks share similarities in setting standards for describing, evaluating and comparing performance on tasks relevant to intelligence. This enables (...) us to unlock lessons from feminist philosophy of science scholarship that need to be considered by the ML benchmark community. Finally, we outline practical recommendations for benchmark research ethics and ethics review. (shrink)

The idea that humans might one day form persistent and dynamic relationships in professional, social, and even romantic contexts is a longstanding one. However, developments in machine learning and especially natural language processing over the last five years have led to this possibility becoming actualised at a previously unseen scale. Apps like Replika, Xiaoice, and CharacterAI boast many millions of active long-term users, and give rise to emotionally complex experiences. In this paper, I provide an overview of these developments, beginning (...) in Section 1 with historical and technical context. In Section 2, I lay out a basic theoretical framework for classifying human-AI relationships and their specific dynamics. Section 3 turns to ethical issues, with a focus on the core philosophical question of whether human-AI relationships can have similar intrinsic value to that possessed by human-human relationships. Section 4 extends to the discussion of ethical issues to the more empirical matter of harms and benefits of human-AI relationships. The paper concludes by noting potentially instructive parallels between the nascent field of ‘Social AI’ and the recent history of social media. (shrink)

This paper examines the integration of ethical considerations in management accounting (MA) education. Drawing on the work of Alisdair MacIntyre, it is argued that MA instruments such as performance measurement are not morally neutral, but instead bear moral implications. Therefore, this paper contends that MA students should be trained to take these moral implications into consideration alongside MA's technical aspects. A content analysis is carried out to examine the integration of ethical considerations in top-ranked MA textbooks. The findings indicate (...) that these textbooks, particularly the introductory textbooks, marginally integrate ethical considerations. Furthermore, the findings point to the risk of detaching ethical considerations from the discussion of MA's technical aspects, which may weaken the potential of the ethical considerations and turn them into ‘afterthoughts’. Finally, this paper offers practical suggestions for the improvement of the integration of ethical considerations in MA education and concludes with directions for future research. (shrink)

There are unusual challenges in ethics for RAS. Perhaps the issue can best be summarised as needing to consider “technically informed ethics”. The technology of RAS raises issues that have an ethical dimension, and perhaps uniquely so due to the possibility of moving human decision-making which is implicitly ethically informed to computer systems. Further, if seeking solutions to these problems – ethically aligned design, to use the IEEE’s terminology – then the solutions must be technically meaningful, capable of (...) realisation, capable of assurance, and suitable as a basis for regulation. Thus, ethics for RAS is a rich, complex multi-disciplinary concern, and perhaps more complex than many other ethical issues facing society today. It is also fast-moving. This paper has endeavoured to give an accessible introduction to some of the key issues, noting that many of them are quite subtle, and it is not possible to do them full justice in such a short document. However, we have sought to counterbalance this by giving an extensive list of initiatives, standards, etc. that focus on ethics of RAS and AI, see Annex A. (shrink)

Since its emergence in the 1960s, Artifcial Intelligence (AI) has grown to conquer many technology products and their felds of application. Machine learning, as a major part of the current AI solutions, can learn from the data and through experience to reach high performance on various tasks. This growing success of AI algorithms has led to a need for interpretability to understand opaque models such as deep neural networks. Various requirements have been raised from diferent domains, together with numerous tools (...) to debug, justify outcomes, and establish the safety, fairness and reliability of the models. This variety of tasks has led to inconsistencies in the terminology with, for instance, terms such as interpretable, explainable and transparent being often used interchangeably in methodology papers. These words, however, convey diferent meanings and are “weighted" diferently across domains, for example in the technical and social sciences. In this paper, we propose an overarching terminology of interpretability of AI systems that can be referred to by the technical developers as much as by the social sciences community to pursue clarity and efciency in the defnition of regulations for ethical and reliable AI development. We show how our taxonomy and defnition of interpretable AI difer from the ones in previous research and how they apply with high versatility to several domains and use cases, proposing a—highly needed—standard for the communication among interdisciplinary areas of AI. (shrink)

Whether or not there is such a thing as moral expertise, and, if so, what constitutes it, is much debated. Empirical expertise bestows epistemic authority over propositional content; that is not the case in moral domains, technical expertise notwithstanding. This article identifies three types of agencies with some authority over decisions in moral matters. It shows that the source of the authority wielded by such agencies, while varying across the three forms identified, is based on empirical and technical (...) knowledge and does not derive solely from any moral expertise of its members. The article examines, and finds wanting, two recent arguments for giving others authority over moral content. (shrink)

In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence, entitled ‘New Generation Artificial Intelligence Development Plan’. This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus (...) on the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents. (shrink)

Increasingly complex and autonomous systems require machine ethics to maximize the benefits and minimize the risks to society arising from the new technology. It is challenging to decide which type of ethical theory to employ and how to implement it effectively. This survey provides a threefold contribution. First, it introduces a trimorphic taxonomy to analyze machine ethics implementations with respect to their object (ethical theories), as well as their nontechnical and technical aspects. Second, an exhaustive selection and (...) description of relevant works is presented. Third, applying the new taxonomy to the selected works, dominant research patterns, and lessons for the field are identified, and future directions for research are suggested. (shrink)

Purpose: The method of diagnosing diabetic retinopathy (DR) through artificial intelligence (AI)-based systems has been commercially available since 2018. This introduces new ethical challenges with regard to obtaining informed consent from patients. The purpose of this work is to develop a checklist of items to be disclosed when diagnosing DR with AI systems in a primary care setting. -/- Methods: Two systematic literature searches were conducted in PubMed and Web of Science databases: a narrow search focusing on DR and a (...) broad search on general issues of AI-based diagnosis. An ethics content analysis was conducted inductively to extract two features of included publications: (1) novel information content for AI-aided diagnosis and (2) the ethical justification for its disclosure. -/- Results: The narrow search yielded n = 537 records of which n = 4 met the inclusion criteria. The information process was scarcely addressed for primary care setting. The broad search yielded n = 60 records of which n = 11 were included. In total, eight novel elements were identified to be included in the information process for ethical reasons, all of which stem from the technical specifics of medical AI. -/- Conclusions: Implications for the general practitioner are two-fold: First, doctors need to be better informed about the ethical implications of novel technologies and must understand them to properly inform patients. Second, patient's overconfidence or fears can be countered by communicating the risks, limitations, and potential benefits of diagnostic AI systems. If patients accept and are aware of the limitations of AI-aided diagnosis, they increase their chances of being diagnosed and treated in time. (shrink)

A cross-sectional study was done on 50 ethics committee members from 15 different Ethics Committee (EC) over a period of 6 months from February 2018 to June 2018 to understand the structure and function of ECs in Bangladesh. Most of the ECs were male predominant (66.3%) and maximum ECs had technical members (93.33%). Only 8.3% ECs had lay person. Forty percent of the ECs did not update SOP routinely. Most of the ECs had no provision of training (...) for its members (79.2%) and had no budget (71.8%). Maximum ECs service were voluntary (82.22%). Different ECs had different quorum to start the meeting. A little less than half of the respondents (45.76%) felt that their decision had not been noted down if disagreed against majority of vote in the ECs and did not placed in the meeting’s minutes. Maximum respondents (88.18%) did not know whether there was any law in Bangladesh to create a EC. A big percentage (89%) of ECs did not monitored by authorized body to guide and oversee the functioning of ECs. This article concluded that some ECs followed the international rules and regulation to formation and function the ECs but still a handsome number of ECs were lag behind in Bangladesh. The capacity of ECs can only be strengthened by training and various recognition/accreditation programs. (shrink)

The value sensitive design (VSD) approach to designing transformative technologies for human values is taken as the object of study in this chapter. VSD has traditionally been conceptualized as another type of technology or instrumentally as a tool. The various parts of VSD’s principled approach would then aim to discern the various policy requirements that any given technological artifact under consideration would implicate. Yet, little to no consideration has been given to how laws, regulations, policies and social norms engage within (...) VSD practices. Similarly, how the interactive nature of the VSD approach can, in turn, influence those directives. This is exacerbated when we consider machine ethics policy that have global consequences outside their development spheres. What constructs and models will position AI designers to engage in policy concerns? How can the design of AI policy be integrated with technical design? How might VSD be used to develop AI policy? How might law, regulations, social norms, and other kinds of policy regarding AI systems be engaged within value sensitive design? This chapter takes the VSD as its starting point and aims to determine how laws, regulations and policies come to influence how value trade-offs can be managed within VSD practices. It shows that the iterative and interactional nature of VSD both permits and encourages existing policies to be integrated both early on and throughout the design process. The chapter concludes with some potential future research programs. (shrink)

In the past months, there has been a lively debate about so-called COVID-19 apps developed to deal with the pandemic (Morley et al. 2020b). Some of the best solutions use the Bluetooth connection of mobile phones to determine contacts between people and therefore the probability of contagion, and then suggested related measures. In theory, it may seem simple. In practice, there are several ethical problems (Morley et al. 2020a), not only legal and technical ones. To understand them, it is (...) useful to distinguish between the validation and the verification of a system, remembering that these words are used here only in the design/engineering sense, and certainly not philosophically. The validation of a system answers the following question:“are we building the right system?”. (shrink)

Calls to hold artificial intelligence to account are intensifying. Activists and researchers alike warn of an “accountability gap” or even a “crisis of accountability” in AI. Meanwhile, several prominent scholars maintain that accountability holds the key to governing AI. But usage of the term varies widely in discussions of AI ethics and governance. This chapter begins by disambiguating some different senses and dimensions of accountability, distinguishing it from neighboring concepts, and identifying sources of confusion. It proceeds to explore the (...) idea that AI operates within an accountability gap arising from technical features of AI as well as the social context in which it is deployed. The chapter also evaluates various proposals for closing this gap. I conclude that the role of accountability in AI ethics and governance is vital but also more limited than some suggest. Accountability’s primary job description is to verify compliance with substantive normative principles—once those principles are settled. Theories of accountability cannot ultimately tell us what substantive standards to account for, especially when norms are contested or still emerging. Nonetheless, formal mechanisms of accountability provide a way of diagnosing and discouraging egregious wrongdoing even in the absence of normative agreement. Providing accounts can also be an important first step toward the development of more comprehensive regulatory standards for AI. (shrink)

The vision of legendary criminologist Cesare Lombroso to use scientific theories of individual causes of crime as a basis for screening and prevention programmes targeting individuals at risk for future criminal behaviour has resurfaced, following advances in genetics, neuroscience and psychiatric epidemiology. This article analyses this idea and maps its ethical implications from a public health ethical standpoint. Twenty-seven variants of the new Lombrosian vision of forensic screening and prevention are distinguished, and some scientific and technical limitations are noted. (...) Some lures, biases and structural factors, making the application of the Lombrosian idea likely in spite of weak evidence are pointed out and noted as a specific type of ethical aspect. Many classic and complex ethical challenges for health screening programmes are shown to apply to the identified variants and the choice between them, albeit with peculiar and often provoking variations. These variations are shown to actualize an underlying theoretical conundrum in need of further study, pertaining to the relationship between public health ethics and the ethics and values of criminal law policy. (shrink)

I argue that biographical information is akin to other non-aesthetic, social, historical, or political information. As such, artist’s biographies are always relevant and important when interpreting art. While the meaning and value of a piece of art is not determined by any single piece of contextual information, neither is its meaning and value ever entirely separated from context. In some cases, however, a piece of art that is technically magnificent may be experienced as repugnant when the artist has committed egregious (...) acts. (shrink)

Many authors have proposed constraining the behaviour of intelligent systems with ‘machine ethics’ to ensure positive social outcomes from the development of such systems. This paper critically analyses the prospects for machine ethics, identifying several inherent limitations. While machine ethics may increase the probability of ethical behaviour in some situations, it cannot guarantee it due to the nature of ethics, the computational limitations of computational agents and the complexity of the world. In addition, machine ethics, (...) even if it were to be ‘solved’ at a technical level, would be insufficient to ensure positive social outcomes from intelligent systems. (shrink)

Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the classic (...) counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, personalised medicine, and operational efficiency. However, if these AI solutions are to be embedded in clinical practice, then at least three issues need to be considered: the technical possibilities and limitations; the ethical, regulatory and legal framework; and the governance framework. In this article, we report on the results of a systematic analysis designed to provide a clear overview of the second of these elements: the ethical, regulatory and legal framework. We find that ethical issues arise at six levels of abstraction (individual, interpersonal, group, institutional, sectoral, and societal) and can be categorised as epistemic, normative, or overarching. We conclude by stressing how important it is that the ethical challenges raised by implementing AI in healthcare settings are tackled proactively rather than reactively and map the key considerations for policymakers to each of the ethical concerns highlighted. (shrink)

Using the search engine Google to locate information linked to individuals and organizations has become part of everyday functioning. This article addresses whether the “gaming” of Internet applications in attempts to modify reputations raises substantial ethical concerns. It analyzes emerging approaches for manipulation of how personally-identifiable information is accessed online as well as critically-important international differences in information handling. It investigates privacy issues involving the data mining of personally-identifiable information with search engines and social media platforms. Notions of “gaming” and (...) “manipulation” have negative connotations as well as instrumental functions, which are distinguished in this article. The article also explores ethical matters engendered by the expanding industry of reputation management services that assist in these detailed technical matters. Ethical dimensions of online reputation are changing in the advent of reputation management, raising issues such as fairness and legitimacy of various information-related practices; the article provides scenarios and questions for classroom deliberation. (shrink)

While every health care system stakeholder would seem to be concerned with obtaining the greatest value from a given technology, there is often a disconnect in the perception of value between a technology’s promoters and those responsible for the ultimate decision as to whether or not to pay for it. Adopting an empirical ethics approach, this paper examines how five Canadian medical device manufacturers, via their websites, frame the corporate “value proposition” of their innovation and seek to respond to (...) what they consider the key expectations of their customers. Our analysis shows that the manufacturers’ framing strategies combine claims that relate to valuable socio-technical goals and features such as prevention, efficiency, sense of security, real-time feedback, ease of use and flexibility, all elements that likely resonate with a large spectrum of health care system stakeholders. The websites do not describe, however, how the innovations may impact health care delivery and tend to obfuscate the decisional trade-offs these innovations represent from a health care system perspective. Such framing strategies, we argue, tend to bolster physicians’ and patients’ expectations and provide a large set of stakeholders with powerful rhetorical tools that may influence the health policy arena. Because these strategies are difficult to counter given the paucity of evidence and its limited use in policymaking, establishing sound collective health care priorities will require solid critiques of how certain kinds of medical devices may provide a better (i.e., more valuable) response to health care needs when compared to others. (shrink)

On the basis of Karl-Otto Apels’ diagnosis of the shortcomings of philosophical ethics in general, and any ethics of individual accountability in particular, I give an outline how these shortcoming are currently to be articulated in the context of ecological crisis and socio-technical change. This will be followed with three interpretations of Karl-Otto Apels’ proposal for an ethics of collective coresponsibility. In conclusion, I will advocate that only a further social evolution of the systems of science, (...) economy and law will enable a possible institutionalization of collective co-responsibility by means of a new innovation paradigm: responsible innovation. (shrink)

This paper clarifies the legal right to free speech, identifies ways that speech can be harmful, and discusses pornography hate speech, and lies. It is also written for a non-technical audience.

This dissertation consists of five chapters, each written as independent research papers that are unified by an overarching concern regarding information privacy and machine learning-based artificial intelligence (AI). This dissertation addresses the issues concerning privacy and AI by responding to the following three main research questions (RQs): RQ1. ‘How does an AI system affect privacy?’; RQ2. ‘How effectively does the General Data Protection Regulation (GDPR) assess and address privacy issues concerning both individuals and groups?’; and RQ3. ‘How can the value (...) of privacy be embedded into systems?’ -/- To respond to the RQs, this dissertation adopts the privacy impact assessment (PIA) as the overall methodology. A PIA encompasses three distinct stages; the first, the analytical stage, concerns the analysis of how AI (particularly focusing on inference as a process that includes inferred information, AI models’ performance, and accessing information uncovered by AI models) impacts privacy. Second, the legal assessment stage concerns whether AI that processes personal information and develops models complies with the GDPR. Finally, the design requirements stage features proposals for design requirements for systems aimed at protecting privacy. Accordingly, this dissertation is structured in three parts, each corresponding to a specific stage of a PIA and responding to one of the RQs. -/- Part I, which addresses the first stage of the PIA, comprises three chapters that altogether respond to RQ1. Chapter 2 analyses how AI impacts the descriptive aspect of privacy; this part argues that AI challenges the current definitions of privacy and that the ‘source control’ and ‘actual access’ definitions of privacy, once revised in the face of counter-examples involving inferred information, converge. Chapter 3, which considers how AI impacts the normative aspect of privacy, particularly the value of privacy, argues that AI affects the social value of privacy, which depends on trust, as this dimension of privacy is constituted when AI models perform accurately. Chapter 4 examines how AI impacts the normative aspect of privacy, particularly the right to privacy, and it argues that, although accessing information uncovered by AI models raises concerns about the privacy of algorithmically designed groups, the right to privacy cannot be recognised for such groups. This is the disruptive feature of AI that has led to consideration of new approaches other than the traditional one, which involves recognising the right to privacy, to protect the privacy of these groups. Instead of recognising the right to privacy for algorithmically designed groups, this chapter suggests taking a moral principle for the moral obligation of protecting vulnerable groups within an ethics of vulnerability. -/- Part II concerns the second stage of the PIA and consists of one chapter that responds to RQ2. Chapter 5, in addition to evaluating whether AI that processes personal information and develops models complies with the GDPR, also assesses whether the GDPR adequately addresses the privacy issues raised by AI. It specifically focuses on group privacy and argues that GDPR has limitations in protecting the privacy of algorithmically designed groups and that the privacy of such vulnerable entities must be considered in the context of privacy and data protection. -/- Part III, which is related to the third stage of the PIA, also consists of one chapter that responds to RQ3. Chapter 6 proposes design requirements to protect privacy by integrating privacy into systems and argues that privacy is instrumentally valuable for the sake of autonomy. Accordingly, to embed the value of privacy into systems, design requirements are articulated through the translation of norms that promote and protect autonomy. (shrink)

Various approaches have emerged over the last several decades to meet the challenges and complexities of anticipating and responding to the potential impacts of emerging technologies. Although many of the existing approaches share similarities, they each have shortfalls. This paper takes as the object of its study Anticipatory Ethics for Emerging Technologies (ATE) to technology assessment, given that it was formatted to address many of the privations characterising parallel approaches. The ATE approach, also in practice, presents certain areas for (...) retooling, such as how it characterises levels and objects of analysis. This paper results from the work done with the TechEthos Horizon 2020 project in evaluating the ethical, legal, and social impacts of climate engineering, digital extended reality, and neurotechnologies. To meet the challenges these technology families present, this paper aims to enhance the ATE framework to encompass the variety of human processes and material forms, functions, and applications that comprise the socio-technical systems in which these technologies are embedded. (shrink)

The idea of permit trading in the United States can be traced as far back as the 1970s, but emissions trading has really only became a popular and exportable idea with the more recent demands that environmental protection acknowledge economic pressures through such ideas as sustainable development. Now the idea of emissions trading has caught on in South America, China and Europe as well. Yet in the eagerness of governments and industry to work out the technical details and legal (...) mechanics of the emissions trading tool, insufficient attention has been paid to its underlying legal and ethical assumptions. In this article, it is emphasized that emissions trading is a part of compliance with environmental law, not a market alternative to compliance. The difference between the two greatly effects and is affected by theories of rights. As part of the scheme of rights and accompanying duties, the author questions whether an implicit right to pollute has been created through emissions trading, as exemplified by the comparison of the systems in the U.S., China and Europe. (shrink)

On the basis of the problem of the possible compulsory nature of vaccines against Covid-19, this paper considers the sources that allow us to justify the imposition of collective measures. The social contract theory provides a rational basis for the universality of ethical and natural law obligations, including conditional respect for a protected domain of individual physical and moral integrity. However, the practical application of the covenant is subject to the uncertainty of what effective consequences the policies have. Ethical principles (...) show the problem of application in the environment of epistemological uncertainty. Only in a free society, with free scrutiny and deliberation, can justified knowledge be achieved that allows social measures to be agreed upon. The characteristics of the case that is the subject of this article lead to the conclusion that Covid-19 vaccines are not ethically obligatory, universally, but they can generate reasoned health measures, promotion, and limitations, based on proven positive effects, as a technical matter. (shrink)

The COVID-19 pandemic revealed numerous weaknesses in pandemic preparedness and response, including underfunding, inadequate surveillance, and inequitable distribution of countermeasures. To overcome these weaknesses for future pandemics, WHO released a zero draft of a pandemic treaty in February, 2023, and subsequently a revised bureau's text in May, 2023. COVID-19 made clear that pandemic prevention, preparedness, and response reflect choices and value judgements. These decisions are therefore not a purely scientific or technical exercise, but are fundamentally grounded in ethics. (...) The latest treaty draft reflects these ethical considerations by including a section entitled Guiding Principles and Approaches. Most of these principles are ethical—they establish core values that undergird the treaty. Unfortunately, the treaty draft's set of principles are numerous, overlapping, and show inadequate coherence and consistency. We propose two improvements to this section of the draft pandemic treaty. First, key guiding ethical principles should be clearer and more precise than they currently are. Second, the link between ethical principles and policy implementation should be clearly established and define boundaries on acceptable interpretation, ensuring that signatories abide by these principles. (shrink)

As attention to the pervasiveness and severity of environmental challenges grows, technical universities are responding to the need to include environmental topics in engineering curricula and to equip engineering students, without training in ethics, to understand and respond to the complex social and normative demands of these issues. But as compared to other areas of engineering ethics education, environmental ethics has received very little attention. This article aims to address this lack and raises the question: How (...) should we teach environmental ethics to engineering students? We argue that one key aspect such teaching should address is the tendency of engineers towards technical framing of (social) problems. Drawing then on engineering ethics pedagogy we propose that the competencies of moral sensitivity and critical thinking can be developed to help engineering students with problem (re)framing. We conclude with an example from our teaching that operationalizes these competencies. (shrink)

The AI Robotics Ethics Society (AIRES) is a non-profit organization founded in 2018 by Aaron Hui to promote awareness and the importance of ethical implementation and regulation of AI. AIRES is now an organization with chapters at universities such as UCLA (Los Angeles), USC (University of Southern California), Caltech (California Institute of Technology), Stanford University, Cornell University, Brown University, and the Pontifical Catholic University of Rio Grande do Sul (Brazil). AIRES at PUCRS is the first international chapter of AIRES, (...) and as such, we are committed to promoting and enhancing the AIRES Mission. Our mission is to focus on educating the AI leaders of tomorrow in ethical principles to ensure that AI is created ethically and responsibly. As there are still few proposals for how we should implement ethical principles and normative guidelines in the practice of AI system development, the goal of this work is to try to bridge this gap between discourse and praxis. Between abstract principles and technical implementation. In this work, we seek to introduce the reader to the topic of AI Ethics and Safety. At the same time, we present several tools to help developers of intelligent systems develop "good" models. This work is a developing guide published in English and Portuguese. Contributions and suggestions are welcome. (shrink)

Taking people’s longevity as a measure of good life, humankind can proudly say that the average person is living a much longer life than ever before. The AIDS epidemic has however for the first time in decades stalled and in some cases even reverted this trend in a number of countries. Climate change is increasingly becoming a major challenge for food security and we can anticipate that hunger caused by crop damages will become much more common. -/- Since many of (...) the challenges humanity faced in the past were overcome by inventive solutions coming from the life sciences, we are compelled to reconsider how we incentivize science and technology development so that those in need can benefit more broadly from scientific research. There is a huge portion of the world population that is in urgent need for medicines to combat diseases that are currently neglected by the scientific community and could immensely benefit from agricultural research that specifically targets their environmental conditions. At the same time efforts have to be made to make the fruits of current and future research more widely accessible. These changes would have to be backed by a range of moral arguments to attract people with diverging notions of global justice. This article explores the main ethical theories used to demand a greater share in the benefits from scientific progress for the poor. Since life sciences bring about a number of special concerns, a short list of conflictive issues is also offered. (shrink)

I argue that Malthus’s Essay on Population is more a treatise in applied ethics than the first treatise in demography. I argue also that, as an ethical work, it is a highly innovative one. The substitution of procreation for sex as the focus makes for a drastic change in the agenda. What had been basically lacking in the discussion up to Malthus’s time was a consideration of human beings’ own responsibility in the decision of procreating. This makes for a (...) remarkable change also in the approach, namely, the discussion becomes an examination of a well-identified issue, taking cause-effect relationships into account in order to assess possible lines of conduct in the light of some, widely shared and comparatively minimal, value judgements. This is more or less the approach of what is now called applied ethics, at least according to one of its accounts, or perhaps to the account shared by a vast majority of its practitioners. In a sense, both the subject matter, sexuality, was substituted with a more restricted issue, namely reproduction, and the traditional approach, moral doctrine, was substituted with a more modest approach, in Malthus’s own words, the ‘moral and political science’. Such a drastic transformation brought about a viable framework, for a discussion of ethical issues that were still unforeseen by Malthus, namely those having to do first with the technical feasibility of eugenics programs and secondly with the scientific discovery of genetics as a field of study but also of possible intervention. Malthus’s ethics had obviously enough nothing to say on those unforeseen issues in so far as it was meant to treat just the ‘quantitative’ dimension of procreation, that is, ‘how many’. Later discussions and controversies will arise around different dimensions, that is, not just ‘how many’ but also ‘how healthy, how strong, how far empowered’. Yet, what Malthus’s lesson can still teach to proponents of opposite views is that the mentioned questions can be construed in such a way as to avoid unending controversy. (shrink)

In many universities and related knowledge transmission organisations, professional focus on empirical data shows as in vocational education that preparation for real life technical work is important, as one would expect from “career education”. University is as the name shows on the contrary focusing on the universality of some sort of education, which is neither a technical one, nor much concerned by preparing oneself for a career. The scope of this chapter is to propose an analysis of inclusion (...) as the very essence of an ethics of reformation of education, which in our opinion cannot come from the institution of education as much as from a common basis between everyday learning capacities and curriculum based learning methods. Inclusive vision and values should be theoretically explained by philosophers in order to be refined and adapted into our current experience of values, pointing out issues about method and knowledge parameters. In particular a focus on epistemic values should bring good indications on how to empower others, and leave a more inclusive life, assuming the somehow paradoxical and surprising idea that knowledge is as important in real life outside the university as it is in the classroom, being the real universal value and currency across disciplines, times and contexts. University learns from being inclusive, i. e. by bringing not only a higher point of view on technical education but also a wider view on the human being. (shrink)

Hans Jonas 's responsibility ethics is an important achievement of modern technology criticism and ethical theory innovation. The maturity of Jonas's ethical thought has gone through three main stages, namely, the critique of modern technology, the reflection of traditional ethics and the construction of the " Future-oriented " Responsibility Ethics. Jonas's criticism of modern technology not only has a strong epochal character but also carries on the spirit of social criticism since Marx. His insight into the traditional (...) ethics theory and the ethical characteristics of the technical age constituted the background of the Responsibility ethics. Jonas's responsibility ethics is not only the return of "responsibility" spirit in ethics but also the dimension of "Future", which is the characteristic of his theory. Through criticism, reflection and construction, Jonas formed this kind of asymmetrical ethics thought of "Future-oriented" Responsibility and faced the challenge of modern technology. (shrink)

In the following article, I aim to elucidate the meaning and scope of Spinoza’s vocabulary related to ‘consciousness’. I argue that Spinoza, at least in his Ethics, uses this notion consistently, although rarely. He introduces it to account for the knowledge we may have of the mind considered alone, as conceptually distinct from the body. This serves two purposes in Spinoza’s Ethics: to explain our illusion of a free will, on the one hand, and to refer to the (...) knowledge we have of our mind as something eternal, on the other. I contend, therefore, that we should not confuse Spinoza’s technical use of the notion of ‘consciousness’ with the ‘degrees of animation’ that he also evokes in the Ethics. Consciousness, for Spinoza, is neither a faculty, nor a property specific to certain minds or ideas. Furthermore, consciousness does not come in degrees. Indeed, Spinoza’s account of consciousness is not intended to differentiate kinds of minds in terms of awareness of their respective ideas. (shrink)

News about personal data breaches or data abusive practices, such as Cambridge Analytica, has questioned the trustworthiness of certain actors in the control of personal data. Innovations in the field of personal information management systems to address this issue have regained traction in recent years, also coinciding with the emergence of new decentralized technologies. However, only with ethically and legally responsible developments will the mistakes of the past be avoided. This contribution explores how current data management schemes are insufficient to (...) adequately safeguard data subjects, and in particular, it focuses on making these data flows transparent to provide an adequate level of accountability. To showcase this, and with the goal of enhancing transparency to foster trust, this paper investigates solutions for standardizing machine-readable policies to express personal data processing activities and their application to decentralized personal data stores as an example of ethical, legal, and technical responsible innovation in this field. (shrink)

[Purposes] This paper aims to summarize the research outcome on publishing ethics of scientific journals abroad, which is expected to serve as a reference for the research on related topics in China. [Methods] Literature review method and content coding method were adopted to systematically sum up related research abroad. Then, the status quo and development trend were analyzed. [Findings] There are five main research topics: anomy of publishing ethics, elements of publishing ethics norms, status quo of publishing (...) ethics implementation, knowledge of authors and editors on publishing ethics and their attitudes, and management of publishing ethics. [Conclusions] Foreign research on publishing ethics of scientific journals has achieved fruitful results with obvious characteristics, but there is a lack of research scope definition and systematic analysis of ethical norms. Chinese scientific journals should take international research outcome as a reference and strengthen the research on ethical norms to enhance the development of publishing ethics. (shrink)

Paul Tillich (1886-1965) is generally considered the most original and influential Christian theologian of the 20th century. What's not as widely recognized, outside of academic circles, is his stature as a first-rate existentialist philosopher—in the lineage of Kierkegaard, Heidegger, Nietzsche, and Pascal. Few people have analyzed more areas of existence: from art and architecture to culture, science, economics, politics, technology, psychology, world religions (particularly Buddhism), history, and health and healing. But one of Tillich's primary and enduring concerns was humanity's troubled (...) relationship with the natural world. It was his belief that empathizing with and defending nature was of vital importance to the human spirit, bringing great depth and meaning to our experience of life itself. -/- Though the 1962 publication of Rachel Carson's "Silent Spring" is seen as a pivotal moment in awakening the environmental movement, Tillich was writing decades before this of the commodification and desecration of the natural world. He witnessed the rise of industrialization and the power of this synthetic world to bend humanity to its demands, and warned that “we are living in the late stage of the self-destruction of industrial society, as a world above the given world of nature." Though creative in many respects, he also saw this technical enterprise impoverishing our spiritual lives and inflicting untold suffering on a defenseless planet and our fellow nonhuman animals. -/- With great implications for environmental ethics, a central part of Tillich’s theology is his “multidimensional unity of life,” a unique scientific and moral perspective that vastly expands our concept of life, granting deep significance to even the inorganic dimension. Perhaps most importantly, Tillich challenges religious views that see life on this planet as subordinate to the "real" lives to come after death, famously stating that “there is no salvation [salvus: to heal and make whole] of man if there is no salvation of nature, for man is in nature and nature is in man." -/- In this timely and original assessment of Tillich, Yunt provides a philosophical bulwark against the modern world's increasing assault on science, reason, and nature. And by examining contemporary environmental movements such as deep ecology and ecopsychology, as well as current issues like climate change and the impact of human diet and new technologies on the planet, Yunt brings clarity to the increasingly obvious fact that humans are within the realm of the natural world, not above it. (shrink)

Mildred Cho and Nicole Martinez-Martin (2023) distinguish between two of the ways in which humans can be represented in medical contexts. One is technical: a digital model of aspects of a person’s...