Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, (...) I also examine to what extent the respective ethical principles and values are implemented in the practice of research, development and application of AI systems—and how the effectiveness in the demands of AI ethics can be improved. (shrink)

An accountability-based privacy governance model is one where organizations are charged with societal objectives, such as using personal information in a manner that maintains individual autonomy and which protects individuals from social, financial and physical harms, while leaving the actual mechanisms for achieving those objectives to the organization. This paper discusses the essential elements of accountability identified by the Galway Accountability Project, with scholarship from the Centre for Information Policy Leadership at Hunton & Williams LLP. Conceptual _Privacy by Design_ principles (...) are offered as criteria for building privacy and accountability into organizational information management practices. The authors then provide an example of an organizational control process that uses the principles to implement the essential elements. Initially developed in the ‘90s to advance privacy-enhancing information and communication technologies, Dr. Ann Cavoukian has since expanded the application of _Privacy by Design_ principles to include business processes. (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)

New technologies from artificial intelligence to drones, and biomedical enhancement make the future of the human family increasingly hard to predict and protect. This book explores how the philosophical tradition of virtue ethics can help us to cultivate the moral wisdom we need to live wisely and well with emerging technologies.

This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...) is available. These heuristics are highly economical and usually effective, but they lead to systematic and predictable errors. A better understanding of these heuristics and of the biases to which they lead could improve judgements and decisions in situations of uncertainty. (shrink)

In this book the author considers data from both early and later schools of Buddhism in an attempt to provide an overall characterization of the structure of Buddhist ethics. The importance of ethics in the Buddha's teachings is widely acknowledged, but the pursuit of ethical ideals has up to now been widely held to be secondary to the attainment of knowledge. Drawing on the Aristotelian tradition of ethics the author argues against this intellectualization of Buddhism and in favour of a (...) new understanding of the tradition in terms of which ethics plays an absolutely central role. In the course of this reassessment many basic concepts such as karma, nirvana, and the Eightfold Path, are reviewed and presented in a fresh light. The book will be of interest to readers with a background in either Buddhist studies or comparative religious ethics. (shrink)

In the international bestseller, Thinking, Fast and Slow, Daniel Kahneman, the renowned psychologist and winner of the Nobel Prize in Economics, takes us on a groundbreaking tour of the mind and explains the two systems that drive the way we think. System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. The impact of overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the profound effect of cognitive (...) biases on everything from playing the stock market to planning our next vacation—each of these can be understood only by knowing how the two systems shape our judgments and decisions. -/- Engaging the reader in a lively conversation about how we think, Kahneman reveals where we can and cannot trust our intuitions and how we can tap into the benefits of slow thinking. He offers practical and enlightening insights into how choices are made in both our business and our personal lives—and how we can use different techniques to guard against the mental glitches that often get us into trouble. Winner of the National Academy of Sciences Best Book Award and the Los Angeles Times Book Prize and selected by The New York Times Book Review as one of the ten best books of 2011, Thinking, Fast and Slow is destined to be a classic. (shrink)

Do philosophy professors specializing in ethics behave, on average, any morally better than do other professors? If not, do they at least behave more consistently with their expressed values? These questions have never been systematically studied. We examine the self-reported moral attitudes and moral behavior of 198 ethics professors, 208 non-ethicist philosophers, and 167 professors in departments other than philosophy on eight moral issues: academic society membership, voting, staying in touch with one's mother, vegetarianism, organ and blood donation, responsiveness to (...) student emails, charitable giving, and honesty in responding to survey questionnaires. On some issues, we also had direct behavioral measures that we could compare with the self-reports. Ethicists expressed somewhat more stringent normative attitudes on some issues, such as vegetarianism and charitable donation. However, on no issue did ethicists show unequivocally better behavior than the two comparison groups. Our findings on attitude-behavior consistency were mixed: ethicists showed the strongest relationship between behavior and expressed moral attitude regarding voting but the weakest regarding charitable donation. We discuss implications for several models of the relationship between philosophical reflection and real-world moral behavior. (shrink)

This classic and controversial book examines the roots of the idea of virtue, diagnoses the reasons for its absence in modern life, and proposes a path for its recovery.

During the last decade there has been burgeoning research concerning the ways in which we should think of and apply the concept of responsibility for Artificial Intelligence. Despite this conceptual richness, there is still a lack of consensus regarding what Responsible AI entails on both conceptual and practical levels. The aim of this paper is to connect the ethical dimension of responsibility in Responsible AI with Aristotelian virtue ethics, where notions of context and dianoetic virtues play a grounding role for (...) the concept of moral responsibility. The paper starts by highlighting the important difficulties in assigning responsibility to either technologies themselves or to their developers. Top-down and bottom-up approaches to moral responsibility are then contrasted, as we explore how they could inform debates about Responsible AI. We highlight the limits of the former ethical approaches and build the case for classical Aristotelian virtue ethics. We show that two building blocks of Aristotle’s ethics, dianoetic virtues and the context of actions, although largely ignored in the literature, can shed light on how we could think of moral responsibility for both AI and humans. We end by exploring the practical implications of this particular understanding of moral responsibility along the triadic dimensions of ethics by design, ethics in design and ethics for designers. (shrink)

The dual-process model of cognition but most especially its reflective component, system 2 processing, shows strong conceptual links with critical thinking. In fact, the salient characteristics of system 2 processing are so strikingly close to that of critical thinking, that it is tempting to claim that critical thinking is system 2 processing, no more and no less. In this article, I consider the two sides of that claim: Does critical thinking always require system 2 processing? And does system 2 processing (...) always result in critical thinking? I argue that it is plausible and helpful to consider that critical thinking requires system 2 processing. In particular, this assumption can provide interesting insights and benchmarks for critical thinking education. On the other hand, I show that system 2 processing can result in a range of outcomes which are either contradictory with critical thinking, or of debatable social desirability—which suggests that there is more to critical thinking than mere system 2 processing, and more to system 2 processing than just critical thinking. (shrink)

In the past few years, scholars have been questioning whether the current approach in data ethics based on the higher level case studies and general principles is effective. In particular, some have been complaining that such an approach to ethics is difficult to be applied and to be taught in the context of data science. In response to these concerns, there have been discussions about how ethics should be “embedded” in the practice of data science, in the sense of showing (...) how ethical issues emerge in small technical choices made by data scientists in their day-to-day activities, and how such an approach can be used to teach data ethics. However, a precise description of how such proposals have to be theoretically conceived and could be operationalized has been lacking. In this article, we propose a full-fledged characterization of ‘embedding’ ethics, and how this can be applied especially to the problem of teaching data science ethics. Using the emerging model of ‘microethics’, we propose a way of teaching daily responsibility in digital activities that is connected to the higher level ethical challenges discussed in digital/data ethics. We ground this microethical approach into a virtue theory framework, by stressing that the goal of a microethics is to foster the cultivation of moral virtues. After delineating this approach of embedding ethics in theoretical detail, this article discusses a concrete example of how such a ‘micro-virtue ethics’ approach could be practically taught to data science students. (shrink)

Across two studies the hypotheses were tested that stressful situations affect both leadership ethical acting and leaders' recognition of ethical dilemmas. In the studies, decision makers recruited from 3 sites of a Swedish multinational civil engineering company provided personal data on stressful situations, made ethical decisions, and answered to stress-outcome questions. Stressful situations were observed to have a greater impact on ethical acting than on the recognition of ethical dilemmas. This was particularly true for situations involving punishment and lack of (...) rewards. The results are important for the Corporate Social Responsibility (CSR) of an organization, especially with regard to the analysis of the Stressors influencing managerial work and its implications for ethical behavior. (shrink)

We examine the self-reported moral attitudes and moral behavior of 198 ethics professors, 208 non-ethicist philosophers, and 167 professors in departments other than philosophy on eight moral issues: academic society membership, voting, staying in touch with one's mother, vegetarianism, organ and blood donation, responsiveness to student emails, charitable giving, and honesty in responding to survey questionnaires. On some issues we also had direct behavioral measures that we could compare with self-report. Ethicists expressed somewhat more stringent normative attitudes on some issues, (...) such as vegetarianism and charitable donation. However, on no issue did ethicists show significantly better behavior than the two comparison groups. Our findings on attitude-behavior consistency were mixed: Ethicists showed the strongest relationship between behavior and expressed moral attitude regarding voting but the weakest regarding charitable donation. (shrink)

If explicit cognition about morality promotes moral behavior then one might expect ethics professors to behave particularly well. However, professional ethicists' behavior has never been empirically studied. The present research examined the rates at which ethics books are missing from leading academic libraries, compared to other philosophy books similar in age and popularity. Study 1 found that relatively obscure, contemporary ethics books of the sort likely to be borrowed mainly by professors and advanced students of philosophy were actually about 50% (...) more likely to be missing than non-ethics books. Study 2 found that classic (pre-1900) ethics books were about twice as likely to be missing. (shrink)

Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that ‘ethics’ in the current AI ethics field is largely ineffective, trapped in an ‘ethical principles’ approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. This significantly limits what ethics can (...) achieve and is a great loss to the AI field and its impacts on individuals and society. This article discusses these risks and then highlights the teeth of ethics and the essential value they can – and should – bring to AI ethics now. (shrink)

Many models of (un)ethical decision making assume that people decide rationally and are in principle able to evaluate their decisions from a moral point of view. However, people might behave unethically without being aware of it. They are ethically blind. Adopting a sensemaking approach, we argue that ethical blindness results from a complex interplay between individual sensemaking activities and context factors.

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)

We examine the occurrence of ethicsrelated terms in 10-K annual reports over 1994-2006 and offer empirical observations on the conceptual framework of Erhard et al. 2007). We use a pre-Sarbanes-Oxley sample subset to compare the occurrence of ethics-related terms in our 10-K data with samples from other studies that consider virtue-related phenomena. We find that firms using ethics-related terms are more likely to be "sin" stocks, are more likely to be the object of class action lawsuits, and are more likely (...) to score poorly on measures of corporate governance. The consistency of our results across these alternative measures of ethical behavior suggests that managers who portray their firm as "ethical" in 10-K reports are more likely to be systematically misleading the public. These results are consistent with the integrity-performance paradox. (shrink)

This article summarizes the multitude of empirical studies that test ethical decision making in business and suggests additional research necessary to further theory in this area. The studies are categorized and related to current theoretical ethical decision making models. The studies are related to awareness, individual and organizational factors, intent, and the role of moral intensity in ethical decision making. Summary tables provide a quick reference for the sample, findings, and publication outlet. This review provides insights for understanding organizational ethical (...) decision constructs, where ethical decision making theory currently stands, and provides insights for future empirical work on organizational ethical decision making. (shrink)

Gilbert Harman has argued that it does not make sense to ascribe character traits to people. The notion of morally virtuous character becomes particularly suspect. How plausible this is depends on how broad character traits would have to be. Views of character as entirely invariant behavioural tendencies offer a soft target. This paper explores a view that is a less easy target: character traits as specific to kinds of situation, and as involving probabilities or real possibilities. Such ascriptions are not (...) undermined by Harman's arguments, and it remains plausible that the agent's character often is indispensable in explanation of behaviour. Character is indispensable also as processes of control that impose reliability where it really matters. (shrink)

This paper begins by summarizing the chief, original contributions to technology ethics in Shannon Vallor’s recent book, Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting, highlighting especially the book’s distinctive inclusion of not only the western virtue ethics tradition but also the analogous traditions in Buddhist and Confucian ethics. But the main point of the paper is to suggest that the theoretical framework developed in the book be extended to include an analysis of the distinctive civic (...) virtues that are crucial to the well functioning of communities of makers, marketers, consumers, and regulators of technology, constituting, as it were, technomoral civic virtue ethics. It is suggested that prominent among these civic virtues is what is dubbed “Socratism,” the habit of regular querying of community aims and practices for the purpose of keeping community action focused on the goods internal to community practice, and the goods of the larger communities in which these local communities are embedded. (shrink)

During the past few decades, engineering ethics has been oriented towards protecting the public from professional misconduct by engineers and from the harmful effects of technology. This “preventive ethics” project has been accomplished primarily by means of the promulgation of negative rules. However, some aspects of engineering professionalism, such as (1) sensitivity to risk (2) awareness of the social context of technology, (3) respect for nature, and (4) commitment to the public good, cannot be adequately accounted for in terms of (...) rules, certainly not negative rules. Virtue ethics is a more appropriate vehicle for expressing these aspects of engineering professionalism. Some of the unique features of virtue ethics are the greater place it gives for discretion and judgment and also for inner motivation and commitment. Four of the many professional virtues that are important for engineers correspond to the four aspects of engineering professionalism listed above. Finally, the importance of the humanities and social sciences in promoting these virtues suggests that these disciplines are crucial in the professional education of engineers. (shrink)

Research on moral judgment has been dominated by rationalist models, in which moral judgment is thought to be caused by moral reasoning. The author gives 4 reasons for considering the hypothesis that moral reasoning does not cause moral judgment; rather, moral reasoning is usually a post hoc construction, generated after a judgment has been reached. The social intuitionist model is presented as an alternative to rationalist models. The model is a social model in that it deemphasizes the private reasoning done (...) by individuals and emphasizes instead the importance of social and cultural influences. The model is an intuitionist model in that it states that moral judgment is generally the result of quick, automatic evaluations (intuitions). The model is more consistent than rationalist models with recent findings in social, cultural, evolutionary, and biological psychology, as well as in anthropology and primatology. (shrink)

In the original publication of this article, the Table 1 has been published in a low resolution. Now a larger version of Table 1 is published in this correction. The publisher apologizes for the error made during production.

Machine behavior that is based on learning algorithms can be significantly influenced by the exposure to data of different qualities. Up to now, those qualities are solely measured in technical terms, but not in ethical ones, despite the significant role of training and annotation data in supervised machine learning. This is the first study to fill this gap by describing new dimensions of data quality for supervised machine learning applications. Based on the rationale that different social and psychological backgrounds of (...) individuals correlate in practice with different modes of human–computer-interaction, the paper describes from an ethical perspective how varying qualities of behavioral data that individuals leave behind while using digital technologies have socially relevant ramification for the development of machine learning applications. The specific objective of this study is to describe how training data can be selected according to ethical assessments of the behavior it originates from, establishing an innovative filter regime to transition from the big data rationale n = all to a more selective way of processing data for training sets in machine learning. The overarching aim of this research is to promote methods for achieving beneficial machine learning applications that could be widely useful for industry as well as academia. (shrink)

Certain research strands can yield “forbidden knowledge”. This term refers to knowledge that is considered too sensitive, dangerous or taboo to be produced or shared. Discourses about such publication restrictions are already entrenched in scientific fields like IT security, synthetic biology or nuclear physics research. This paper makes the case for transferring this discourse to machine learning research. Some machine learning applications can very easily be misused and unfold harmful consequences, for instance, with regard to generative video or text synthesis, (...) personality analysis, behavior manipulation, software vulnerability detection and the like. Up till now, the machine learning research community embraces the idea of open access. However, this is opposed to precautionary efforts to prevent the malicious use of machine learning applications. Information about or from such applications may, if improperly disclosed, cause harm to people, organizations or whole societies. Hence, the goal of this work is to outline deliberations on how to deal with questions concerning the dissemination of such information. It proposes a tentative ethical framework for the machine learning community on how to deal with forbidden knowledge and dual-use applications. (shrink)

In the original publication of this article, the Table 1 has been published in a low resolution. Now a larger version of Table 1 is published in this correction. The publisher apologizes for the error made during production.

Despite their popularity, dual process accounts of human reasoning and decision-making have come under intense scrutiny in recent years. Cognitive scientists and philosophers alike have come to question the theoretical foundations of the ‘standard view’ of dual process theory and have challenged the validity and relevance of evidence in support of it. Moreover, attempts to modify and refine dual process theory in light of these challenges have generated additional concerns about its applicability and refutability as a scientific theory. With these (...) concerns in mind, this paper provides a critical review of dual process theory in economics, focusing on its role as a psychological framework for decision modeling in behavioral economics and neuroeconomics. I argue that the influx of criticisms against dual process theory challenge the descriptive accuracy of dualistic decision models in economics. In fact, the case can be made that the popularity of dual process theory in economics has less to do with the empirical success of dualistic decision models, and more to do with the convenience that the dual process narrative provides economists looking to explain-away decision anomalies. This leaves behavioral economists and neuroeconomists with something of a dilemma: either they stick to their purported ambitions to give a realistic description of human decision-making and give up the narrative, or they revise and restate their scientific ambitions. (shrink)

The author presents and defends three theses: (1) "the first is that it is not profitable for us at present to do moral philosophy; that should be laid aside at any rate until we have an adequate philosophy of psychology." (2) "the second is that the concepts of obligation, And duty... And of what is morally right and wrong, And of the moral sense of 'ought', Ought to be jettisoned if this is psychologically possible...." (3) "the third thesis is that (...) the differences between the well-Known english writers on moral philosophy from sidgwick to the present day are of little importance." (staff). (shrink)

Modern digital technologies—from web-based services to Artificial Intelligence (AI) solutions—increasingly affect the daily lives of billions of people. Such innovation brings huge opportunities, but also concerns about design, development, and deployment of digital technologies. This article identifies and discusses five clusters of risk in the international debate about digital ethics: ethics shopping; ethics bluewashing; ethics lobbying; ethics dumping; and ethics shirking.

When confronted with an ethical dilemma, most of us like to think we would stand up for our principles. But we are not as ethical as we think we are. In Blind Spots, leading business ethicists Max Bazerman and Ann Tenbrunsel examine the ways we overestimate our ability to do what is right and how we act unethically without meaning to. From the collapse of Enron and corruption in the tobacco industry, to sales of the defective Ford Pinto, the downfall (...) of Bernard Madoff, and the Challenger space shuttle disaster, the authors investigate the nature of ethical failures in the business world and beyond, and illustrate how we can become more ethical, bridging the gap between who we are and who we want to be. Explaining why traditional approaches to ethics don't work, the book considers how blind spots like ethical fading--the removal of ethics from the decision--making process--have led to tragedies and scandals such as the Challenger space shuttle disaster, steroid use in Major League Baseball, the crash in the financial markets, and the energy crisis. The authors demonstrate how ethical standards shift, how we neglect to notice and act on the unethical behavior of others, and how compliance initiatives can actually promote unethical behavior. They argue that scandals will continue to emerge unless such approaches take into account the psychology of individuals faced with ethical dilemmas. Distinguishing our "should self" from our "want self", the authors point out ethical sinkholes that create questionable actions. Suggesting innovative individual and group tactics for improving human judgment, Blind Spots shows us how to secure a place for ethics in our workplaces, institutions, and daily lives. (shrink)

Virtue ethics is perhaps the most important development within late twentieth-century moral philosophy. Rosalind Hursthouse, who has made notable contributions to this development, here presents a full exposition and defense of her neo-Aristotelian version of virtue ethics. She shows how virtue ethics can provide guidance for action, illuminate moral dilemmas, and bring out the moral significance of the emotions.

The past couple of decades have witnessed a remarkable burst of philosophical energy and talent devoted to virtue ethical approaches to Confucianism, including several books, articles, and even high-profile workshops and conferences that make connections between Confucianism and either virtue ethics as such or moral philosophers widely regarded as virtue ethicists. Those who do not work in the combination of Chinese philosophy and ethics may wonder what all of the fuss is about. Others may be more familiar with the issues (...) but have doubts about the fruitfulness of this line of inquiry. It is therefore worth asking whether a constructive engagement between Confucianism and virtue ethics is worth turning into a significant, multi-generational research agenda. Most answers to this question will fall somewhere between two poles. At one end is the view that the line of inquiry has run its course, if ever there were a course to run in the first place; at the opposite end is the view that we’re only just getting started. And then there is a wide range of more moderate views falling between these two positions. Far from having exhausted the potential of virtue ethical approaches to Confucianism, I think we are standing on a philosophical gold mine that we’ve only just begun to tap. In what follows I would like to explain briefly why I take this to be the case. (shrink)