Combining principles of individual rational choice with a sociological conception of collective action, James Coleman recasts social theory in a bold new way. The result is a landmark in sociological theory, capable of describing both stability and change in social systems. This book provides for the first time a sound theoretical foundation for linking the behavior of individuals to organizational behavior and then to society as a whole. The power of the theory is especially apparent when Coleman analyzes corporate actors, (...) such as large corporations and trade unions. He examines the creation of these institutions, collective decision making, and the processes through which authority is revoked in revolts and revolutions. Coleman discusses the problems of holding institutions responsible for their actions as well as their incompatibility with the family. He also provides a simple mathematical analysis corresponding to and carrying further the verbal formulations of the theory. Finally, he generates research techniques that will permit quantitative testing of the theory. From a simple, unified conceptual structure Coleman derives, through elegant chains of reasoning, an encompassing theory of society. It promises to be the most important contribution to social theory since the publication of Talcott Parsons' Structure of Social Action in 1936. (shrink)

Over the course of its first seven editions, Principles of Biomedical Ethics has proved to be, globally, the most widely used, authored work in biomedical ethics. It is unique in being a book in bioethics used in numerous disciplines for purposes of instruction in bioethics. Its framework of moral principles is authoritative for many professional associations and biomedical institutions-for instruction in both clinical ethics and research ethics. It has been widely used in several disciplines for purposes of teaching in the (...) classroom, during conferences, etc. (shrink)

In 2019, the IEEE launched the P7000 standards projects intended to address ethical issues in the design of autonomous and intelligent systems. This move came amidst a growing public concern over the unintended consequences of artificial intelligence (AI), compounded by the lack of an anticipatory process for attending to ethical impact within professional practice. However, the difficulty in moving from principles to practice presents a significant challenge to the implementation of ethical guidelines. Herein, we describe two complementary frameworks for integrating (...) ethical analysis into engineering practice to help address this challenge. We then provide the outcomes of an ethical analysis informed by these frameworks, conducted within the specific context of internetdelivered therapy in digital mental health. We hope both the frameworks and analysis can provide tools and insights, not only for the context of digital healthcare, but for data-enabled and intelligent technology development more broadly. (shrink)

The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...) ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. (shrink)

This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...) stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society. (shrink)

The authors use the term “principlism” to refer to the practice of using “principles” to replace both moral theory and particular moral rules and ideals in dealing with the moral problems that arise in medical practice. The authors argue that these “principles” do not function as claimed, and that their use is misleading both practically and theoretically. The “principles” are in fact not guides to action, but rather they are merely names for a collection of sometimes superficially related matters for (...) consideration when dealing with a moral problem. The “principles” lack any systematic relationship to each other, and they often conflict with each other. These conflicts are unresolvable, since there is no unified moral theory from which they are all derived. For comparison the authors sketch the advantages of using a unified moral theory. (shrink)

Emergency care providers regularly deal with ethical dilemmas that must be addressed. In comparison with in-hospital nurses, emergency medical service personnel are faced with more problems such as distance to resources including personnel, medico-technical aids, and information; the unpredictable atmosphere at the scene; arriving at the crime scene and providing emergency care for accident victims and patients at home. As a result of stressfulness, unpredictability, and often the life threatening nature of tasks that ambulance professionals have to deal with every (...) day, ethical decision-making has become an inevitable challenge. The content analysis approach was used to conduct the present qualitative study in Iran. The participants consisted of 14 EMS personnel selected through purposive sampling, which continued until the data became saturated. Data were collected using semi-structured interviews and analyzed concurrently with their collection through the constant comparison method. The process of data analysis resulted in the emergence of 3 main categories “respecting client’s values”, “performing tasks within the professional manner”, “personal characteristic”, and the emergence of eight sub-categories signifying participants’ experiences with regard to EDM. According to the results, when EMS personnel are faced with ethical dilemmas, they consider the client’s values and professional dignity, and perform the assigned tasks within the framework of the regulation. The findings also suggest that pre-hospital care providers assess legal consequences before making any decision. Further studies should be conducted regarding the experiences of the subordinates and other related parties. (shrink)

This paper discusses means for promoting artificial intelligence that is designed to be safe and beneficial for society. The promotion of beneficial AI is a social challenge because it seeks to motivate AI developers to choose beneficial AI designs. Currently, the AI field is focused mainly on building AIs that are more capable, with little regard to social impacts. Two types of measures are available for encouraging the AI field to shift more toward building beneficial AI. Extrinsic measures impose constraints (...) or incentives on AI researchers to induce them to pursue beneficial AI even if they do not want to. Intrinsic measures encourage AI researchers to want to pursue beneficial AI. Prior research focuses on extrinsic measures, but intrinsic measures are at least as important. Indeed, intrinsic factors can determine the success of extrinsic measures. Efforts to promote beneficial AI must consider intrinsic factors by studying the social psychology of AI research communities. (shrink)

I want to sound a warning note and suggest some changes that are needed in the practice of ethical review. It is easy to assume that with a policy as high-minded as the policy of reviewing research on human beings, the only difficulties will be the obstacles put in its way by recalcitrant and unreformed paries: by the special-interest groups affected. But this is not always true of high-minded policies and it is not true, in particular, of the policy of (...) reviewing research. Ethical review is endangering valuable research on human beings and, moreover, it is endangering the very ethic that is needed to govern that research. And this is not anyone's fault, least of all the fault of any special-interest groups. The problem is that the process of ethical review has been driven by an institutional dynamic that is not in anyone's control and this dynamic is now driving us, willy nilly, on to some very stony ground. My argument is developed in four sections. In the next section, section two, I look at a model of policy-making which identifies a reactive, institutional dynamic that lies at the origin of certain policy intitiatives. In the third section I argue that this model fits the appearance and development of the ethical review of human research, showing how the process of review has been motored by a dynamic of step-by-step reaction to chilling tales of abuse. In the fourth section I look at the predictions of the future development of ethical review that the extrapolation of that model yields. And then in the fifth and.. (shrink)

Clouser and Gert’s 'A Critique of Principlism’ (1990) has ignited debate over the adequacy of substituting principlism for moral theory as a means for dealing with biomedical dilemmas. Clouser and Gert argue that this sort of substitution is not adequate to the task. I examine their argument in light of recent defences of principlism on this score, those of B. Andrew Lustig (1992), David Degrazia (1992), and Beauchamp and Childress (1994). I argue that both sides in the debate have assumed (...) differing conceptions of a moral theory that virtually guarantee their respective conclusions. These differing conceptions are motivated by antecedent epistemological commitments. The present debate over principlism is therefore inconclusive. Future discussion should focus on the underlying epistemological issues. (shrink)