The global rollout of Covid-19 vaccination has amplified concerns regarding vaccination hesitancy, which presents a formidable challenge for public health authorities. While widespread vaccination is imperative for containing the virus, hesitancy arises from multiple factors, including apprehensions about potential long-term vaccine side-effects and misconceptions about vaccination. This has prompted discussions about the feasibility of mandating Covid-19 vaccination, especially for specific groups like healthcare professionals and the general public. This paper critically examines the tension between a paternalistic approach and individual autonomy, (...) advocating for a balanced strategy that considers both public health imperatives and individual rights. Drawing insights from existing literature, the study emphasizes the need for a nuanced and pragmatic approach to address vaccine hesitancy effectively. (shrink)

The increasing use of artificial intelligence (AI) systems in our daily life through various applications, services, and products explains the significance of trust/distrust in AI from a user perspective. AI-driven systems have significantly diffused into various fields of our lives, serving as beneficial tools used by human agents. These systems are also evolving to act as co-assistants or semi-agents in specific domains, potentially influencing human thought, decision-making, and agency. Trust/distrust in AI plays the role of a regulator and could significantly (...) control the level of this diffusion, as trust can increase, and distrust may reduce the rate of adoption of AI. Recently, varieties of studies have paid attention to the variant dimension of trust/distrust in AI, and its relevant considerations. In this systematic literature review, after conceptualization of trust in the current AI literature review, we will investigate trust in different types of human-Machine interaction, and its impact on technology acceptance in different domains. In addition to that, we propose a taxonomy of technical (i.e., safety, accuracy, robustness) and non-technical axiological (i.e., ethical, legal, and mixed) trustworthiness metrics, and some trustworthy measurements. Moreover, we examine some major trust-breakers in AI (e.g., autonomy and dignity threat), and trust makers; and propose some future directions and probable solutions for the transition to a trustworthy AI. (shrink)

AGGA (Academic Guidelines for Generative AIs) is a dataset of 80 academic guidelines for the usage of generative AIs and large language models in academia, selected systematically and collected from official university websites across six continents. Comprising 181,225 words, the dataset supports natural language processing tasks such as language modeling, sentiment and semantic analysis, model synthesis, classification, and topic labeling. It can also serve as a benchmark for ambiguity detection and requirements categorization. This resource aims to facilitate research on AI (...) governance in educational contexts, promoting a deeper understanding of the integration of AI technologies in academia. (shrink)

What does it mean to say that an agent has a reason to do a certain action? Does it mean that she would desire to do the action, or that there is some external consideration, which she ought to follow? Or is there a third alternative? The debate between Humean affective (i.e., desire-based) and classical Kantian cognitive theories has seemingly ended up in a theoretical standoff, and so most of the contributors have recently focused on the conative attitude of motivation (...) - either preceded by affective or cognitive attitudes. Accordingly, they contend that an agent has a reason to f only if, on some occasions, she would be motivated to f: call this Conative Reason Internalism. I argue, first, that even the most qualified version of this weak conative condition obtains only contingently. Secondly, that a cognitive contextual attitude, derived from the agent’s capacity of Reasons-Understanding, necessarily obtains. Therefore, necessarily, if an agent has a reason to f, it follows that, were she contextually rational, she would make evaluative sense out of the propositional content of f-ing or would understand why f-ing is considered as a right action in the relevant context: I call this De Dicto Cognitive Reason Contextualism. (shrink)

Consciousness is one of the most complex phenomena of the world. As philosophy of mind, together with psychology and cognitive sciences, developed, consciousness was seriously studied in the twentieth century. Many attempts have been made to explain the nature of this mysterious phenomenon and the way in which it has come into being; as a result, different theories have been offered about it. In this paper, a variety of naturalistic theories of consciousness have been considered, and their weakness has been (...) shown. (shrink)

In this paper, we argue that an inclusive and effective community resilience approach requires empathy as a missing component in the current engineering education and practice. An inclusive and effective community resilience approach needs to be human-centric, individual- and communal-sensitive, justice-oriented, and values-based consistent. In this paper, we argue that three kinds of empathy, namely cognitive, affective, and conative, play a central role in creating and sustaining an inclusive and effective approach to community resilience. Finally, we discuss empathetic education through (...) learning theories and analytics skills to cultivate empathy in engineering education. Cultivating empathy in engineering education could help advance the impact and contribution of engineering to well-being. (shrink)

AGGA (Academic Guidelines for Generative AIs) is a dataset of 80 academic guidelines for the usage of generative AIs and large language models in academia, selected systematically and collected from official university websites across six continents. Comprising 181,225 words, the dataset supports natural language processing tasks such as language modeling, sentiment and semantic analysis, model synthesis, classification, and topic labeling. It can also serve as a benchmark for ambiguity detection and requirements categorization. This resource aims to facilitate research on AI (...) governance in educational contexts, promoting a deeper understanding of the integration of AI technologies in academia. (shrink)

Empathic design, which is the outcome of embedding the empathic approach in community resilience, will meet all four critical features of any models which are supposed to satisfy both physical resilience and humanistic considerations. It holds that in addition to the technical knowledge, engineers have to care about the humanistic side of the engineering process as well. Empathic design refers to a design in which the designers, as well as the technical specifications, consider the humanistic aspects of the system in (...) virtue of three types of empathy, namely, cognitive, affective, and conative. The empathic design brings about an inclusive and effective community resilience approach that is human-centric, individual and communal sensitive, justice-oriented, and value-based consistent. (shrink)

Sadr al-Din Muhammad b. Ibrahim b. Yahya Qawami Shirazi (ca. 1571–1636), known as Mulla Sadra, is one of the three important philosophers (with Avicenna, and Suhrawardi) in Islamic philosophy, after the period of the first prominent Islamic philosophers i.e., Averroes and al-Farabi.

Ethical considerations play a key role in the proposed frameworks for COVID-19 vaccine allocation. Based on a set of ethical principles, these frameworks make recommendations on those who should be prioritized for vaccination. WHO Strategic Advisory Group of Experts of Immunization (SAGE)1, the National Academy of Medicine (NAM)2, and the Johns Hopkins Center for Health Security (JHCHS)3 have issued frameworks for allocation and prioritization of COVID-19 vaccination. None of these frameworks have made any recommendations as to the prioritization of those (...) who have not yet been infected with SARS-CoV-2 (non-infected group) over those who have been infected previously (infected group). Does this imply that giving priority to the non-infected group is not justified from the ethical perspective of these frameworks? In the following, we review the ethical foundations of these frameworks and show that prioritization of the non-infected group is not only consistent with, but also implied by, these ethical foundations. (shrink)

In this paper, we propose a conceptual model to improve moral sensitivity in human resource development (HRD) to assist human resource (HR) practitioners in contending with moral challenges in HRD. The literature on the relationship between ethics and HRD suggests that the organizational and employee development discipline deals with ethical issues at three different levels: Individual, organizational and communal, and international levels. In section I, we elaborate on moral challenges facing HRD. In section II, we conceptualize moral sensitive HRD, proposing (...) a conceptual model in virtue of some essential ethical theories and concepts that assist HRD in grappling with those problems. We will show how each theory and concept can help HRD to deal with relevant problems. In section III, we elaborate on practical approaches to implement moral sensitivity in HRD. We put forward some strategies that help HRD bring those theories and concepts to bear on the ethical problems facing this discipline. Finally, we discuss moral education through learning theories to cultivate moral concepts and ethical dimensions in HRD education. (shrink)

In this paper, I argue that Kantian ethics is not inclusive, and his formulation of CI fails. It excludes some intuitive moral actions. I show that Kant’s formulation of categorical imperative fails in some important category of moral actions, due to the fact that its first formula (i.e., the formula of universal law ) is contingent, and doesn't necessarily obtain in all categories of moral actions. Wood in 1999 shows that the formula of universal law is incomplete, however, I argue (...) that it is not a necessary condition for moral action; and this entails the failure of CI. There are some exceptional moral maxims (and relevant actions), which are both permissible and moral, but they cannot be thought as universal one, without practical contradiction. (shrink)

In Delusions of consciousness, Blackmore supports illusionism on consciousness, using a Humean approach toward "self." First, she tries to explain away the intuitive, realistic viewpoint on self-consciousness; she "explains why some the illusionary self-consciousness is so compelling" by claiming a "simple mistake in introspections" and tries to explain it away. Secondly, she concludes that the idea of illusionary self-consciousness shows the delusion of consciousness per se. In this paper, first, I shall show that her explanation against realism on consciousness (in (...) support of the illusion of self-consciousness) is not decisive; it can be formulated such that works against illusionism. Secondly, I show that un-consciousness is a delusion and explain it away, not in a Humean approach, but in terms of the semantics of "forgetfulness." Thirdly, I shall show that Blackmore wrongly concludes delusion of consciousness, on the basis of illusionary self-consciousness, while the latter doesn't necessarily entail the former. (shrink)

Consciousness is one of the most complex phenomena of the world. As philosophy of mind, together with psychology and cognitive sciences, developed, consciousness was seriously studied in the twentieth century. Many attempts have been made to explain the nature of this mysterious phenomenon and the way in which it has come into being; as a result, different theories have been offered about it. In this paper, a variety of naturalistic theories of consciousness have been considered, and their weakness has been (...) shown. (shrink)

We conducted a systematic literature review on the ethical considerations of the use of contact tracing app technology, which was extensively implemented during the COVID-19 pandemic. The rapid and extensive use of this technology during the COVID-19 pandemic, while benefiting the public well-being by providing information about people’s mobility and movements to control the spread of the virus, raised several ethical concerns for the post-COVID-19 era. To investigate these concerns for the post-pandemic situation and provide direction for future events, we (...) analyzed the current ethical frameworks, research, and case studies about the ethical usage of tracing app technology. The results suggest there are seven essential ethical considerations—privacy, security, acceptability, government surveillance, transparency, justice, and voluntariness—in the ethical use of contact tracing technology. In this paper, we explain and discuss these considerations and how they are needed for the ethical usage of this technology. The findings also highlight the importance of developing integrated guidelines and frameworks for implementation of such technology in the post- COVID-19 world. (shrink)

In Internal and External Reasons, Bernard Williams proposes a speculative argument for the idea that internal reasons are the only kind of normative reason, and that his counterfactual internal interpretation is the only truth condition for both kinds of reason-statements, H and S (H: “A has a reason to φ” and S: “There is a reason for A to φ”). He takes for granted, however, that internal and external reasons are the only possible kinds of normative reasons at work: his (...) argument is therefore question-begging against a externalism—yet this is only the lesser problem faced by reason internalism. The main problems for Williams’s argument are his semantical reduction of S to H (which entails his question-begging argument) and his ad hoc interpretation of H in terms of his stipulative account of internal reasons. The most serious problem for both reason internalism and reason externalism, however, is represented by certain moral counterintuitive examples on both sides, which could be considered as the central problem in the debate. In this thesis, after showing Williams’s argument to be question-begging, I first explain his failure to unify two irreducible questions (on the nature of normative reasons and on the nature of rationality) as well as to reduce the truth conditions of S to H. Then, through conceptual analysis, I show that William’s internalist interpretation of H is false, and that the commonsensical interpretation of H is one that I call contextual interpretation in terms of contextual reasons. Internal reasons are just one usage of H, and contextual reasons are the real rival to external reasons in the debate on normative reason. Secondly, I argue that the two distinct notions of rationality— relative (instrumental) rationality and absolute rationality—require two distinct truth conditions, and the central problem deals only with the absolute one. I hope to show that reason contextualism, defined in terms of contextual reasons (i.e., neither internal nor external reasons) provides us with the best explication of these two distinct notions of rationality, and that the contextual interpretation accommodates all the counterexamples associated with the central problem. (shrink)

The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. This results (...) in Big Data congestion, data management, storage issues and various inefficiencies. Fog Computing aims at solving the issues with data management as it includes intelligent computational components and storage closer to the data sources. Often, an IoT-enabled infrastructure is shared among many users with various requirements. Sharing resources, sharing operational costs and collective decision making (consensus) among many stakeholders is frequently neglected. This research addresses an essential requirement for adaptive, autonomous and consensus-based Fog computational solutions which are able to support distributed and in-network schemes and policies. These network schemes and policies need to meet the requirements of many users. In this work, innovative consensus-based computational solutions are investigated. These proposed solutions aim to correlate and organise data for effective management and decision making in Fog. Instead of individual decision making, the algorithms aim to aggregate several decisions into a consensus decision representing a collective agreement, benefiting from the individuals variant knowledge and meeting multiple stakeholders requirements. In order to validate the proposed solutions, hybrid research methodology is involved that includes the design of a test-bed and the execution of several experiments. In order to investigate the effectiveness of the paradigm, three experiments were designed and validated. Real-life sensor data and synthetic statistical data was collected, processed and analysed. Bayesian Machine Learning models and Analytics were used to consolidate the design and evaluate the performance of the algorithms. In the Fog environment, the first scenario tests the Aggregation by Distribution algorithm. The solution contribute in achieving a notable efficiency of data delivery obtained with a minimal loss in precision. The second scenario validates the merits of the approach in predicting the activities of high mobility IoT applications. The third scenario tests the applications related to smart home IoT. All proposed Consensus algorithms use statistical analysis to support effective decision making in Fog and enable data aggregation for optimal storage, data transmission, processing and analytics. The final results of all experiments showed that all the implemented consensus approaches surpass the individual ones in different performance terms. Formal results also showed that the paradigm is a good fit in many IoT environments and can be suitable for different scenarios when applying data analysis to correlate data with the design. Finally, the design demonstrates that Fog Computing can compete with Cloud Computing in terms of accuracy with an added preference of locality. (shrink)

Growing technological advances in intelligent artifacts and bitter experiences of the past have emphasized the need to use and operate ethics in this field. Accordingly, it is vital to discuss the ethical integrity of having intelligent artifacts. Concerning the method of gathering materials, the current study uses library and documentary research followed by attribution style. Moreover, descriptive analysis is employed in order to analyze data. Explaining and criticizing the opposing views in this field and reviewing the related literature, it is (...) concluded that the proof of the ethical integrity of the intelligent artifacts is possible due to the specific features of these artifacts and their own moral system. (shrink)

Abstract: As the integration of Artificial Intelligence (AI) continues to permeate various sectors, the legal domain stands on the cusp of a transformative era. This research paper delves into the multifaceted relationship between AI and the law, scrutinizing the profound implications and innovative applications that emerge at the intersection of these two realms. The study commences with an examination of the current landscape, assessing the challenges and opportunities that AI presents within legal frameworks. With an emphasis on efficiency, accuracy, and (...) accessibility, AI technologies are reshaping traditional legal processes, ranging from document analysis and contract review to predictive legal analytics. Furthermore, the paper scrutinizes the ethical considerations and potential biases inherent in AI algorithms, exploring the delicate balance between technological advancements and the preservation of legal principles such as fairness, accountability, and transparency. The research also delves into the evolving role of legal professionals in navigating and overseeing AI applications, emphasizing the importance of responsible AI deployment. Drawing on case studies and real-world examples, this paper showcases instances where AI has already demonstrated its efficacy in legal contexts, highlighting successful implementations and identifying areas for improvement. The discussion extends to the evolving regulatory landscape, as legal systems grapple with the need to adapt and establish frameworks that ensure the responsible and ethical use of AI technologies. In conclusion, this research contributes to the growing discourse on the dynamic interplay between AI and the legal domain. By illuminating the potential benefits, ethical considerations, and regulatory challenges, it provides a comprehensive overview for legal practitioners, policymakers, and technologists alike, fostering a nuanced understanding of the evolving landscape where artificial intelligence intersects with the law. (shrink)

Abstract: Nowadays fresh water severe scarcity is a global concern and it is alarming for the future. In order to fully understand the progress of the water system and its impacts, a sustainability assessment of water resources is needed. This accelerates the achievement of sustainability and management of water resources. This work aims to assess the sustainability of the water resources system by applying the integration approach proposed by (Xu, 2011). This integration approach is based on integrating the DPSIR-ANP method (...) to the System Dynamics (SD) model, which is considered as a unique work in water resources management field. SD is a computer simulation model to understanding the behavior of complex systems over time, while Analytic Network Process (ANP) is a decision finding method used in model complex decision problems which contains feedback connections and loops. DPSIR is an analytical framework for describing the interactions between the economy, society and the environment. This integrated approach enables decision makers to view the sustainability problems of water resources system more comprehensively. The results showed that there is an increasing impact on the sustainability of water resources systems in Egypt over the research period. This is attributed to the increase in water resources consumption due to the increase in population, agriculture expansion and an increase in the value of GDP. So, the officials for managing water resources in Egypt should take actions to increase the efficiency of water use and increasing the renewable water resources for compensating water shortage. (shrink)

This sixth volume of Collected Papers includes 74 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2015-2021 by the author alone or in collaboration with the following 121 co-authors from 19 countries: Mohamed Abdel-Basset, Abdel Nasser H. Zaied, Abduallah Gamal, Amir Abdullah, Firoz Ahmad, Nadeem Ahmad, Ahmad Yusuf Adhami, Ahmed Aboelfetouh, Ahmed Mostafa Khalil, Shariful Alam, W. Alharbi, Ali Hassan, Mumtaz Ali, Amira S. Ashour, Asmaa Atef, Assia Bakali, Ayoub Bahnasse, A. A. Azzam, Willem K.M. Brauers, Bui (...) Cong Cuong, Fausto Cavallaro, Ahmet Çevik, Robby I. Chandra, Kalaivani Chandran, Victor Chang, Chang Su Kim, Jyotir Moy Chatterjee, Victor Christianto, Chunxin Bo, Mihaela Colhon, Shyamal Dalapati, Arindam Dey, Dunqian Cao, Fahad Alsharari, Faruk Karaaslan, Aleksandra Fedajev, Daniela Gîfu, Hina Gulzar, Haitham A. El-Ghareeb, Masooma Raza Hashmi, Hewayda El-Ghawalby, Hoang Viet Long, Le Hoang Son, F. Nirmala Irudayam, Branislav Ivanov, S. Jafari, Jeong Gon Lee, Milena Jevtić, Sudan Jha, Junhui Kim, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Songül Karabatak, Abdullah Kargın, M. Karthika, Ieva Meidute-Kavaliauskiene, Madad Khan, Majid Khan, Manju Khari, Kifayat Ullah, K. Kishore, Kul Hur, Santanu Kumar Patro, Prem Kumar Singh, Raghvendra Kumar, Tapan Kumar Roy, Malayalan Lathamaheswari, Luu Quoc Dat, T. Madhumathi, Tahir Mahmood, Mladjan Maksimovic, Gunasekaran Manogaran, Nivetha Martin, M. Kasi Mayan, Mai Mohamed, Mohamed Talea, Muhammad Akram, Muhammad Gulistan, Raja Muhammad Hashim, Muhammad Riaz, Muhammad Saeed, Rana Muhammad Zulqarnain, Nada A. Nabeeh, Deivanayagampillai Nagarajan, Xenia Negrea, Nguyen Xuan Thao, Jagan M. Obbineni, Angelo de Oliveira, M. Parimala, Gabrijela Popovic, Ishaani Priyadarshini, Yaser Saber, Mehmet Șahin, Said Broumi, A. A. Salama, M. Saleh, Ganeshsree Selvachandran, Dönüș Șengür, Shio Gai Quek, Songtao Shao, Dragiša Stanujkić, Surapati Pramanik, Swathi Sundari Sundaramoorthy, Mirela Teodorescu, Selçuk Topal, Muhammed Turhan, Alptekin Ulutaș, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Dan Valeriu Voinea, Volkan Duran, Navneet Yadav, Yanhui Guo, Naveed Yaqoob, Yongquan Zhou, Young Bae Jun, Xiaohong Zhang, Xiao Long Xin, Edmundas Kazimieras Zavadskas. (shrink)

Sustainable dwelling is a mental concept, yet it should meet the physical and emotional requirements of humans for living. Therefore, only those sites in which human needs are satisfied can be regarded as sustainable dwelling. Iranian traditional houses with their genuine characteristics are still something to be desired. In these houses the courtyard is the heart of the structure and at the same time it is counted as its organizing principle. Hence, understanding the function of the courtyard leads us to (...) an understanding of the purpose of the whole building. This paper argues that the traditional Iranian courtyards are a materialization of the concept of sustainable dwelling. Moreover, the writer contends that probing into the courtyard for the concept of sustainable dwelling has the added advantage of shedding light on a solution to palliate life conditions in contemporary modern houses of Iran. To this aim the courtyards of three famous houses in Kashan, Iran during the Qajar dynasty, namely Borujerdiha house, Tabatabe'i house and Saleh house are examined as the closest historical examples to our modern world. This study the writer aims to provide a local definition for the concept of sustainable dwelling and second to suggest a practical solution by which to reach an ideal state of life in the contemporary world. (shrink)