The present paper aims at contributing to the ethical debate on the impacts of artificial intelligence (AI) systems on human autonomy. More specifically, it intends to offer a clearer understanding of the design challenges to the effort of aligning driving automation technologies to this ethical value. After introducing the discussion on the ambiguous impacts that AI systems exert on human autonomy, the analysis zooms in on how the problem has been discussed in the literature on connected and automated vehicles (CAVs). (...) On this basis, it is claimed that the issue has been mainly tackled on a fairly general level, and mostly with reference to the controversial issue of crash-optimization algorithms, so that only limited design insights have been drawn. However, integrating ethical analysis and design practices is critical to pursue the implementation of such an important ethical value into CAV technologies. To this aim, it is argued, a more applied approach targeted at examining the impacts on human autonomy of current CAV functions should also be explored. As an example of the intricacy of this task, the case of automated route planning is discussed in some detail. (shrink)

Why should moral philosophers, moral psychologists, and machine ethicists care about computational complexity? Debates on whether artificial intelligence (AI) can or should be used to solve problems in ethical domains have mainly been driven by what AI can or cannot do in terms of human capacities. In this paper, we tackle the problem from the other end by exploring what kind of moral machines are possible based on what computational systems can or cannot do. To do so, we analyze normative (...) ethics through the lens of computational complexity. First, we introduce computational complexity for the uninitiated reader and discuss how the complexity of ethical problems can be framed within Marr’s three levels of analysis. We then study a range of ethical problems based on consequentialism, deontology, and virtue ethics, with the aim of elucidating the complexity associated with the problems themselves (e.g., due to combinatorics, uncertainty, strategic dynamics), the computational methods employed (e.g., probability, logic, learning), and the available resources (e.g., time, knowledge, learning). The results indicate that most problems the normative frameworks pose lead to tractability issues in every category analyzed. Our investigation also provides several insights about the computational nature of normative ethics, including the differences between rule- and outcome-based moral strategies, and the implementation-variance with regard to moral resources. We then discuss the consequences complexity results have for the prospect of moral machines in virtue of the trade-off between optimality and efficiency. Finally, we elucidate how computational complexity can be used to inform both philosophical and cognitive-psychological research on human morality by advancing the moral tractability thesis. (shrink)

For smart cities, data-driven innovation promises societal benefits and increased well-being for residents and visitors. At the same time, the deployment of data-driven innovation poses significant ethical challenges. Although cities and other public-sector actors have increasingly adopted ethical principles, employing them in practice remains challenging. In this commentary, we use a virtue-based approach that bridges the gap between abstract principles and the daily work of practitioners who engage in and with data-driven innovation processes. Inspired by Aristotle, we describe practices of (...) data-driven innovation in a smart city applying the concepts of virtue and phronêsis, meaning good judgment of and sensitivity to ethical issues. We use a dialogic case-study approach to study two cases of data-driven innovation in the city of Helsinki. We then describe as an illustration of how our approach can help bridge the gap between concrete practices of data-driven innovation and high-level principles. Overall, we advance a theoretically grounded, virtue-based approach, which is practice oriented and linked to the daily work of data scientists and other practitioners of data-driven innovation. Further, this approach helps understand the need for and importance of individual application of phronêsis, which is particularly important in public-sector organizations that can experience gaps between principle and practice. This importance is further intensified in cases of data-driven innovation in which, by definition, novel and unknown contexts are explored. (shrink)

Recently in this journal, Jessica Morley and colleagues (AI & SOC 2023 38:411–423) review AI ethics and education, suggesting that a cultural shift is necessary in order to prepare students for their responsibilities in developing technology infrastructure that should shape ways of life for many generations. Current AI ethics guidelines are abstract and difficult to implement as practical moral concerns proliferate. They call for improvements in ethics course design, focusing on real-world cases and perspective-taking tools to immerse students in challenging (...) situations with relatable personal, social and environmental implications. The present paper considers the ACTWith model of moral cognition for use in such training contexts. Morley and colleagues' paper and contemporary literature are reviewed. Whistleblowing as a source for relatable case studies is discussed, and the purpose of ethics education considered. The ACTWith model is introduced, and correlations with contemporaries noted. The ACTWith model has been successfully employed in a broad range of technology ethics courses in the Netherlands and South Korea. Illustrations are offered. Correlations with contemporary efforts are drawn in the context of software engineering. Summary discussion considers strengths and limitations of the ACTWith program. Overall, the paper emphasizes training high-level moral reasoning through guided inquiry education informing lifetime professional practice, and indicates an outstanding need for teachers able to do the job. (shrink)

We paraphrase Descartes’ famous dictum in the area of AI ethics where the “I doubt and therefore I am” is suggested as a necessary aspect of morality. Therefore AI, which cannot doubt itself, cannot possess moral agency. Of course, this is not the end of the story. We explore various aspects of the human mind that substantially differ from AI, which includes the sensory grounding of our knowing, the act of understanding, and the significance of being able to doubt ourselves. (...) The foundation of our argument is the discipline of ethics, one of the oldest and largest knowledge projects of human history, yet, we seem only to be beginning to get a grasp of it. After a couple of thousand years of studying the ethics of humans, we (humans) arrived at a point where moral psychology suggests that our moral decisions are intuitive, and all the models from ethics become relevant only when we explain ourselves. This recognition has a major impact on what and how we can do regarding AI ethics. We do not offer a solution, we explore some ideas and leave the problem open, but we hope somewhat better understood than before our study. (shrink)

This article is an exercise in the virtue epistemology of the internet, an area of applied virtue epistemology that investigates how online environments impact the development of intellectual virtues, and how intellectual virtues manifest within online environments. I examine online echo chambers and epistemic bubbles (Nguyen 2020, Episteme 17(2), 141–61), exploring the conceptual relationship between these online environments and the virtue of open-mindedness (Battaly 2018b, Episteme 15(3), 261–82). The article answers two key individual-level, virtue epistemic questions: (Q1) How does immersion (...) in online echo chambers and epistemic bubbles affect the cultivation and preservation of open-mindedness, and (Q2) Is it always intellectually virtuous to exhibit open-mindedness in the context of online echo chambers and epistemic bubbles? In response to Q1, I contend that both online echo chambers and online epistemic bubbles threaten to undermine the cultivation and preservation of open-mindedness, albeit via different mechanisms and to different degrees. In response to Q2, I affirm that both a deficiency and an excess of open-mindedness can be virtuous in these online environments, depending on the epistemic orientation of the digital user. (shrink)

In recent decades, the digital age and the Third Industrial Revolution have attracted significant attention in terms of their benefits and risks. Scholars have explored the impact of these changes on autonomy, freedom, human interactions, cognition, and knowledge sharing. However, the influence of the digital communicative environment on civic interactions and public deliberation processes has received limited attention from virtue theorists. This paper aims to address this gap. First, we discuss the challenges posed by the digital communicative environment, and we (...) present recent attempts to revive civility within this context. Then, we propose a twofold account of civility as consisting in the two virtues of civic benevolence and civil deliberation. Finally, we focus on the epistemic side of civility, civil deliberation, and we conduct the first empirical studies on two of its components. (shrink)

The increasing complexity and ubiquity of autonomously operating artificially intelligent (AI) systems call for a robust theoretical reconceptualization of responsibility and control. The Meaningful Human Control (MHC) approach to the design and operation of AI systems provides such a framework. However, in its focus on accountability and minimizing harms, it neglects how we may flourish in interaction with such systems. In this chapter, I show how the MHC framework can be expanded to meet this challenge by drawing on the ethics (...) of carebots and embodied design. First, I examine how discussions about flourishing with carebots invite us to consider the extent to which we control our moral character Second, I argue that we can understand the cultivation of moral character in terms of embodied virtues arising from operating in particular ecologies. Third, I demonstrate how this analysis fruitfully informs the design of carebots as supporting reciprocity and empathy. (shrink)

Large Language Models (LLMs) like ChatGPT were trained on human conversation, but in the future they will also train us. As chatbots speak from our smartphones and customer service helplines, they will become a part of everyday life and a growing share of all the conversations we ever have. It’s hard to doubt this will have some effect on us. Here I explore a specific concern about the impact of artificial conversation on our capacity to deliberate and hold ourselves accountable (...) to reason – that is, to be autonomous, in Kant’s sense of the term. I develop ideas from psychologist Jean Piaget to show how chatbots are autonomy traps: their deference to our commands tempts us into venting authoritarian whims, ultimately weakening our own self-control. I argue that the Kantian tradition, including Piaget and sociologist Emile Durkheim, offers powerful conceptual resources for resisting this slide. But it will require us to do something that may seem bizarre: we will need to treat mindless chatbots as if they are autonomous persons too. (shrink)

According to proponents of the extended mind, bio-external resources, such as a notebook or a smartphone, are candidate parts of the cognitive and mental machinery that realises cognitive states and processes. The present chapter discusses three areas of ethical concern associated with the extended mind, namely mental privacy, mental manipulation, and agency. We also examine the ethics of the extended mind from the standpoint of three general normative frameworks, namely, consequentialism, deontology, and virtue ethics.

The scholarship on meaningful work has approached the topic mostly from the perspective of the subjective experience of the individual worker. This has led the literature to under-theorize, if not outright ignore, the cultural and normative dimension of meaningful work. In particular, it has obscured that a person’s ability to find meaning in her life in general, and her work in particular, is typically anchored and dependent on shared institutions and cultural aspirations. Reflecting on the future of work, particularly on (...) the dangers posed by the threat of technological unemployment, helps us recognize this cultural and normative dimension of meaningful work. I argue that a world with few work opportunities is a world devoid of a core structuring ideal around which our society has organized itself and, as such, will strain our ability to make sense of what it means to find life meaningful. To make this case I show that work operates as a central organizing _telos_ around which our contemporary lives gravitate. Work touches everyone and everything, defining the rhythms of our days and weeks and providing a center of gravity around which our lives are structured. Work constitutes a central dimension of human flourishing. Through work we provide for our material needs, develop our skills and virtues, build community, and contribute to the common good. As such, work constitutes a central organizing ideal in contemporary Western societies, a fact has significant normative force and plays an important role in our finding work meaningful. (shrink)

That technologies may raise ethical issues is now widely recognised. The ‘responsible innovation’ literature – as well as, to a lesser extent, the applied ethics and bioethics literature – has responded to the need for ethical reflection on technologies by developing a number of tools and approaches to facilitate such reflection. Some of these instruments consist of lists of questions that people are encouraged to ask about technologies – a methodology known as the ‘Socratic approach’. However, to date, these instruments (...) have often not adequately acknowledged various political impacts of technologies, which are, I suggest, essential to a proper account of the ethical issues they raise. New technologies can make some people richer and some people poorer, empower some and disempower others, have dramatic implications for relationships between different social groups and impact on social understandings and experiences that are central to the lives, and narratives, of denizens of technological societies. The distinctive contribution of this paper, then, is to offer a revised and updated version of the Socratic approach that highlights the political, as well as the more traditionally ethical, issues raised by the development of new technologies. (shrink)

Robots as social companions in close proximity to humans have a strong potential of becoming more and more prevalent in the coming years, especially in the realms of elder day care, child rearing, and education. As human beings, we have the fascinating ability to emotionally bond with various counterparts, not exclusively with other human beings, but also with animals, plants, and sometimes even objects. Therefore, we need to answer the fundamental ethical questions that concern human-robot-interactions per se, and we need (...) to address how we conceive of »good lives«, as more and more of the aspects of our daily lives will be interwoven with social robots. (shrink)

An Artificial Intelligence algorithm trained on data that reflect racial biases may yield racially biased outputs, even if the algorithm on its own is unbiased. For example, algorithms used to schedule medical appointments in the USA predict that Black patients are at a higher risk of no-show than non-Black patients, though technically accurate given existing data that prediction results in Black patients being overwhelmingly scheduled in appointment slots that cause longer wait times than non-Black patients. This perpetuates racial inequity, in (...) this case lesser access to medical care. This gives rise to one type of Accuracy-Fairness trade-off: preserve the efficiency offered by using AI to schedule appointments or discard that efficiency in order to avoid perpetuating ethno-racial disparities. Similar trade-offs arise in a range of AI applications including others in medicine, as well as in education, judicial systems, and public security, among others. This article presents a framework for addressing such trade-offs where Machine Learning and Optimization components of the algorithm are decoupled. Applied to medical appointment scheduling, our framework articulates four approaches intervening in different ways on different components of the algorithm. Each yields specific results, in one case preserving accuracy comparable to the current state-of-the-art while eliminating the disparity. (shrink)

We argue that the growing prevalence of statistical machine learning in everyday decision making – from creditworthiness to police force allocation – effectively replaces many of our humdrum practical judgments and that this will eventually undermine our capacity for making such judgments. We lean on Aristotle’s famous account of how phronesis and moral virtues develop to make our case. If Aristotle is right that the habitual exercise of practical judgment allows us to incrementally hone virtues, and if AI saves us (...) time by taking over some of those practical judgments, or if its pattern recognition capacities are very good at learning that kind of behavior – we risk innovating ourselves out of moral competence with the introduction of AI. (shrink)

Many optimistic responses have been proposed to bridge the threat of responsibility gaps which artificial systems create. This paper identifies a question which arises if this optimistic project proves successful. On a response-dependent understanding of responsibility, our responsibility practices themselves at least partially determine who counts as a responsible agent. On this basis, if AI or robot technology advance such that AI or robot agents become fitting participants within responsibility exchanges, then responsibility itself might be engineered. If we have good (...) reason to think such technological advances are likely, then we should take steps to address the potential for engineering responsibility. (shrink)

This paper argues that ethical reflection and dialogue can assist in understanding what animal welfare is. Questions about animal welfare’s nature are thorny and contested. Responding to an essay by Donald Bruckner, the paper acknowledges that animal welfare is a type of normative value distinct from ethical value and that the methodology for determining prudential value is not simply reducible to ethical thought. However, it contends that connections between ethics and understanding wellbeing are closer than we might expect. The paper (...) argues that: the broad conception of welfare we seek must answer to ethics; ethical responses can sometimes expose existing hidden or denied beliefs about prudential value/wellbeing; some judgements about wellbeing’s nature are internal to and thereby newly revealed in ethical judgements; understanding prudential value often requires sensitivity and responsiveness somewhat like that required in good ethical thinking. In these ways, and perhaps contrary to our assumptions, ethics can help us conceptualise animal welfare. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence (...) from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

In this article, we argue that Ted Chiang’s short stories offer a realist philosophy of technology, one that charts a third course between the techno-pessimism and techno-optimism that characterize the history of philosophizing about technology and much of the speculative fiction about it. We begin by surveying the history of utopian and skeptical approaches to technology in philosophy and speculative fiction. We then move to discuss two of Chiang’s recent stories and use them to articulate the author’s techno-realism. Chiang’s view, (...) as it is developed in these stories, has three features: First, technology is not merely an agent of de-skilling, it can also promote self-knowledge and insight. Second, technology is not only an agent of alienation it can also provide succor and psychological relief. Finally, technology does not necessarily remake us into new beings with new capacities and needs. In many cases, it just gives us further avenues to be what we already were - to act on the tendencies and pursue the needs we always had. (shrink)

Many ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, several AI ethics researchers have pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach. This paper proposes a complementary to the principled approach that is based on virtue ethics. It defines four “basic AI virtues”, namely justice, honesty, responsibility and care, all of which represent specific (...) motivational settings that constitute the very precondition for ethical decision making in the AI field. Moreover, it defines two “second-order AI virtues”, prudence and fortitude, that bolster achieving the basic virtues by helping with overcoming bounded ethicality or hidden psychological forces that can impair ethical decision making and that are hitherto disregarded in AI ethics. Lastly, the paper describes measures for successfully cultivating the mentioned virtues in organizations dealing with AI research and development. (shrink)

We argue that the concept of practical wisdom is particularly useful for organizing, understanding, and improving human-machine interactions. We consider the relationship between philosophical analysis of wisdom and psychological research into the development of wisdom. We adopt a practical orientation that suggests a conceptual engineering approach is needed, where philosophical work involves refinement of the concept in response to contributions by engineers and behavioral scientists. The former are tasked with encoding as much wise design as possible into machines themselves, as (...) well as providing sandboxes or workspaces to help various stakeholders build practical wisdom in systems that are sufficiently realistic to aid transferring skills learned to real-world use. The latter are needed for the design of exercises and methods of evaluation within these workspaces, as well as ways of empirically assessing the transfer of wisdom from workspace to world. Systematic interaction between these three disciplines (and others) is the best approach to engineering wisdom for the machine age. (shrink)

Value-sensitive design theorists propose that a range of values that should inform how future social robots are engineered. This article explores a new value: digital well-being, and proposes that the next generation of social robots should be designed to facilitate this value in those who use or come into contact with these machines. To do this, I explore how the morphology of social robots is closely connected to digital well-being. I argue that a key decision is whether social robots are (...) designed as embodied or disembodied. After exploring the merits of both approaches, I conclude that, on balance, there are persuasive reasons why disembodied social robots may well fare better with respect to the value of digital well-being. (shrink)

In this paper I argue that social networking sites (SNSs) are emotion technologies that promote a highly charged emotional environment where intrinsic emotion regulation is significantly weakened, and people's emotions are more strongly modulated by other people and by the technology itself. I show that these features of social media promote a simplistic emotional outlook which is an obstacle to the development and maintenance of virtue. In addition, I focus on the mechanisms that promote group-based anger and thus give rise (...) to affective polarisation. In the final section, after a discussion of the positive value of some forms of anger, I argue that SNSs should not be designed to prohibit or suppress anger, but that its encouragement should also be avoided. I conclude with a suggestion about how this might be achieved. (shrink)

In this paper, we examine the qualitative moral impact of machine learning-based clinical decision support systems in the process of medical diagnosis. To date, discussions about machine learning in this context have focused on problems that can be measured and assessed quantitatively, such as by estimating the extent of potential harm or calculating incurred risks. We maintain that such discussions neglect the qualitative moral impact of these technologies. Drawing on the philosophical approaches of technomoral change and technological mediation theory, which (...) explore the interplay between technologies and morality, we present an analysis of concerns related to the adoption of machine learning-aided medical diagnosis. We analyze anticipated moral issues that machine learning systems pose for different stakeholders, such as bias and opacity in the way that models are trained to produce diagnoses, changes to how health care providers, patients, and developers understand their roles and professions, and challenges to existing forms of medical legislation. Albeit preliminary in nature, the insights offered by the technomoral change and the technological mediation approaches expand and enrich the current discussion about machine learning in diagnostic practices, bringing distinct and currently underexplored areas of concern to the forefront. These insights can contribute to a more encompassing and better informed decision-making process when adapting machine learning techniques to medical diagnosis, while acknowledging the interests of multiple stakeholders and the active role that technologies play in generating, perpetuating, and modifying ethical concerns in health care. (shrink)

Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve this goal, we (...) critically explore the possibilities and challenges for virtue ethics from a computational perspective. Drawing on previous conceptual and technical work, we outline a version of artificial virtue based on moral functionalism, connectionist bottom–up learning, and eudaimonic reward. We then describe how core features of the outlined theory can be interpreted in terms of functionality, which in turn informs the design of components necessary for virtuous cognition. Finally, we present a comprehensive framework for the technical development of artificial virtuous agents and discuss how they can be implemented in moral environments. (shrink)

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)

YouTube has been implicated in the transformation of users into extremists and conspiracy theorists. The alleged mechanism for this radicalizing process is YouTube’s recommender system, which is optimized to amplify and promote clips that users are likely to watch through to the end. YouTube optimizes for watch-through for economic reasons: people who watch a video through to the end are likely to then watch the next recommended video as well, which means that more advertisements can be served to them. This (...) is a seemingly innocuous design choice, but it has a troubling side-effect. Critics of YouTube have alleged that the recommender system tends to recommend extremist content and conspiracy theories, as such videos are especially likely to capture and keep users’ attention. To date, the problem of radicalization via the YouTube recommender system has been a matter of speculation. The current study represents the first systematic, pre-registered attempt to establish whether and to what extent the recommender system tends to promote such content. We begin by contextualizing our study in the framework of technological seduction. Next, we explain our methodology. After that, we present our results, which are consistent with the radicalization hypothesis. Finally, we discuss our findings, as well as directions for future research and recommendations for users, industry, and policy-makers. (shrink)

This paper aims to review the empirical and theoretical research on engineering ethics education, by focusing on the challenges reported in the literature. The analysis is conducted at four levels of the engineering education system. First, the individual level is dedicated to findings about teaching practices reported by instructors. Second, the institutional level brings together findings about the implementation and presence of ethics within engineering programmes. Third, the level of policy situates findings about engineering ethics education in the context of (...) accreditation. Finally, there is the level of the culture of engineering education. The multi-level analysis allows us to address some of the limitations of higher education research which tends to focus on individual actors such as instructors or remains focused on the levels of policy and practice without examining the deeper levels of paradigm and purpose guiding them. Our approach links some of the challenges of engineering ethics education with wider debates about its guiding paradigms. The main contribution of the paper is to situate the analysis of the theoretical and empirical findings reported in the literature on engineering ethics education in the context of broader discussions about the purpose of engineering education and the aims of reform programmes. We conclude by putting forward a series of recommendations for a socio-technical oriented reform of engineering education for ethics. (shrink)

Software systems play an ever more important role in our lives and software engineers and their companies find themselves in a position where they are held responsible for ethical issues that may arise. In this paper, we try to disentangle ethical considerations that can be performed at the level of the software engineer from those that belong in the wider domain of business ethics. The handling of ethical problems that fall into the responsibility of the engineer has traditionally been addressed (...) by the publication of Codes of Ethics and Conduct. We argue that these Codes are barely able to provide normative orientation in software development. The main contribution of this paper is, thus, to analyze the normative features of Codes of Ethics in software engineering and to explicate how their value-based approach might prevent their usefulness from a normative perspective. Codes of Conduct cannot replace ethical deliberation because they do not and cannot offer guidance because of their underdetermined nature. This lack of orientation, we argue, triggers reactive behavior such as “cherry-picking,” “risk of indifference,” “ex-post orientation,” and the “desire to rely on gut feeling.” In the light of this, we propose to implement ethical deliberation within software development teams as a way out. (shrink)

The proposed paper presents an argument in favor of a Rawlsian approach to ethics for Internet technology companies (den Hoven & Rooksby, 2008; Hoffman, 2017). Ethics statements from such companies are analyzed and shown to be utilitarian and teleological in nature, and therefore in opposition to Rawls’ theories of justice and fairness. The statements are also shown to have traits in common with Confucian virtue ethics (Ames, 2011; Nylan, 2008).

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)

This paper looks at philosophical questions that arise in the context of AI alignment. It defends three propositions. First, normative and technical aspects of the AI alignment problem are interrelated, creating space for productive engagement between people working in both domains. Second, it is important to be clear about the goal of alignment. There are significant differences between AI that aligns with instructions, intentions, revealed preferences, ideal preferences, interests and values. A principle-based approach to AI alignment, which combines these elements (...) in a systematic way, has considerable advantages in this context. Third, the central challenge for theorists is not to identify ‘true’ moral principles for AI; rather, it is to identify fair principles for alignment that receive reflective endorsement despite widespread variation in people’s moral beliefs. The final part of the paper explores three ways in which fair principles for AI alignment could potentially be identified. (shrink)

There are a number of recent attempts to introduce Confucian values to the ethical analysis of technology. These works, however, have not attended sufficiently to one central aspect of Confucianism, namely Ritual (‘Li’). Li is central to Confucian ethics, and it has been suggested that the emphasis on Li in Confucian ethics is what distinguishes it from other ethical traditions. Any discussion of Confucian ethics for technology, therefore, remains incomplete without accounting for Li. This chapter aims to elaborate on the (...) concept of Confucian Li and discuss its relevance to ethics of technology. Particularly, by referring to Li’s communicative, formative, and aesthetic function, I formulate an approach to ethics of technology with an emphasis on community, performance, and the aesthetic and demonstrate how this approach proceeds with the ethical analysis of technology. In doing so, I attempt to answer the question: why Confucianism matters in ethics of technology. (shrink)

I discuss three tiers of technological innovation: mild innovation, or the acceleration by technology of a human activity aimed at a good; moderate innovation, or the obviation by technology of an activity aimed at a good; and radical innovation, or the altering by technology of the human condition so as to change what counts as a good. I argue that it is impossible to morally assess proposed innovations within any of these three tiers unless we rehabilitate a natural-law ethical framework. (...) And I offer some moral starting points within such a framework, in connection with innovations of each of the three types. (shrink)

In this panel, we explore the future of value sensitive design (VSD). The stakes are high. Many in public and private sectors and in civil society are gradually realizing that taking our values seriously implies that we have to ensure that values effectively inform the design of technology which, in turn, shapes people’s lives. Value sensitive design offers a highly developed set of theory, tools, and methods to systematically do so.

Twenty-five years ago, robotics guru Joseph Engelberger had a mission to motivate research teams all over the world to design the ‘Elderly Care Giver’, a multitasking personal robot assistant for everyday care needs in old age. In this article, we discuss how this vision of omnipotent care robots has influenced the design strategies of care robotics, the development of R&D initiatives and ethics research on use of care robots. Despite the expectations of robots revolutionizing care of older people, the role (...) of robots in human care has remained marginal. The value of world trade in service robots, including care robots, is rather small. We argue that the implementation of robots in care is not primarily due to negative user attitudes or ethical problems, but to problems in R&D and manufacturing. The care robots currently available on the market are capable of simple, repetitive tasks or colloquial interaction. Thus far, also research on care robots is mostly conducted using imaginary scenarios or small-scale tests built up for research purposes. To develop useful and affordable robot solutions that are ethically, socially and ecologically sustainable, we suggest that robot initiatives should be evaluated within the framework of care ecosystems. This implies that attention has to be paid to the social, emotional and practical contexts in which care is given and received. Also, the political, economic and ecological realities of organizing care and producing technological commodities have to be acknowledged. It is time to openly discuss the drivers behind care robot initiatives to outline the bigger picture of organizing care under conditions of limited resources. (shrink)

Manufacturing and industry practices are undergoing an unprecedented revolution as a consequence of the convergence of emerging technologies such as artificial intelligence, robotics, cloud computing, virtual and augmented reality, among others. This fourth industrial revolution is similarly changing the practices and capabilities of operators in their industrial environments. This paper introduces and explores the notion of the Operator 4.0 as well as how this novel way of conceptualizing the human operator necessarily implicates human values in the technologies that constitute it. (...) The design approach known as value sensitive design (VSD) is used to explore how these Operator 4.0 technologies can be designed for human values. Expert elicitation surveys were used to determine the values of industry stakeholders and examples of how the VSD methodology can be adopted by engineers in order to design for these values is illustrated. The results provide preliminary adoption strategies that industrial teams can take to Operator 4.0 technology for human values. (shrink)

Despite the initial promise of social media platforms as a means of facilitating discourse on matters of civic discourse, in practice it has turned out to impair fruitful conversation on civic issues by a number of means. From self-isolation into echo chambers, to algorithmically supported filter bubbles, to widespread failure to engage politically owing to psychological phenomena like the ‘spiral of silence’, a variety of factors have been blamed. I argue that extant accounts overlook the importance of interpersonal relationships to (...) sustaining quality civic discourse on social media. Drawing on an Aristotelian account of friendship with an emphasis on the value of interpersonal difference plus the influence of interactions on individual character, I argue that a common scapegoat for the failure of civic discourse online—the variety of “unfriend” disconnection tools offered on various platforms—actually show promise at promoting better-quality civic conversation and overcoming the obstacles present on social media platforms. (shrink)

Technological artefacts have, in recent years, invited increasingly intimate ways of interaction. But surprisingly little attention has been devoted to how such interactions, like with wearable devices or household robots, shape our minds, cognitive capacities, and moral character. In this thesis, I develop an embodied, enactive account of mind--technology interaction that takes the reciprocal influence of artefacts on minds seriously. First, I examine how recent developments in philosophy of technology can inform the phenomenology of mind--technology interaction as seen through an (...) enactivist lens. Second, I show how an enactive account of remembering can improve operationalizations of the memory palace mnemonic through virtual reality devices. Third, I draw on virtue ethics to argue that an enactivist approach allows us to better grasp the morally shaping aspects of artefacts by looking at social robots. Fourth, I fend off an underlying metaphysical concern about enactivism by arguing that an embodied, enactive account is compatible with the multiple realization of cognitive processes. This principle is often seen as a crucial test favouring accounts such as extended functionalism over enactivism and I argue that some forms of enactivism pass this test as well. Finally, I conclude by considering what the future relationship between enactivism and functionalism may have in store for the study of mind--technology interaction. (shrink)

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)

Care is more than dispensing pills or cleaning beds. It is about responding to the entire patient. What is called “bedside manner” in medical personnel is a quality of treating the patient not as a mechanism but as a being—much like the caregiver—with desires, ideas, dreams, aspirations, and the gamut of mental and emotional character. As automata, answering an increasing functional need in care, are designed to enact care, the pressure is on their becoming more humanlike to carry out the (...) function more effectively. The question becomes not merely whether the care automaton can effect good bedside manner but whether the patient’s response is not feeling deceived by the humanlikeness. It seems the device must be designed either to effect explicit mere human-“likeness,” thus likely undermining its bedside-manner potential, or to fool the patient completely. Neither option is attractive. This article examines the social problems of designing maximally humanlike care automata and how problems may start to erode the human rights of users/patients. The article then investigates the alternatives for dealing with this problem, whether by industrial and professional self-regulation or public-policy initiatives. It then frames the problem in the broader historical perspective in terms of previous bans, moratoria, and other means of control of hazardous and potentially rights-violating techniques and materials. (shrink)

Virtue ethics is currently one of three major approaches in normative ethics. It may, initially, be identified as the one that emphasizes the virtues, or moral character, in contrast to the approach that emphasizes duties or rules (deontology) or that emphasizes the consequences of actions (consequentialism). Suppose it is obvious that someone in need should be helped. A utilitarian will point to the fact that the consequences of doing so will maximize well-being, a deontologist to the fact that, in doing (...) so the agent will be acting in accordance with a moral rule such as “Do unto others as you would be done by” and a virtue ethicist to the fact that helping the person would be charitable or benevolent. (shrink)

Through the exponential growth in digital devices and computational capabilities, big data technologies are putting pressure upon the boundaries of what can or cannot be considered acceptable from an ethical perspective. Much of the literature on ethical issues related to big data and big data technologies focuses on separate values such as privacy, human dignity, justice or autonomy. More holistic approaches, allowing a more comprehensive view and better balancing of values, usually focus on either a design-based approach, in which it (...) is tried to implement values into the design of new technologies, or an application-based approach, in which it is tried to address the ways in which new technologies are used. Some integrated approaches do exist, but typically are more general in nature. This offers a broad scope of application, but may not always be tailored to the specific nature of big data related ethical issues. In this paper we distil a comprehensive set of ethical values from existing design-based and application-based ethical approaches for new technologies and further focus these values to the context of emerging big data technologies. A total of four value lists were selected for this. The integrated list consists of a total of ten values: human welfare, autonomy, non-maleficence, justice, accountability, trustworthiness, privacy, dignity, solidarity and environmental welfare. Together, this set of values provides a comprehensive and in-depth overview of the values that are to be taken into account for emerging big data technologies. (shrink)

In this paper, we analyse how GPS-based navigation systems are transforming some of our intellectual virtues and then suggest two strategies to improve our practices regarding the use of such epistemic tools. We start by outlining the two main approaches in virtue epistemology, namely virtue reliabilism and virtue responsibilism. We then discuss how navigation systems can undermine five epistemic virtues, namely memory, perception, attention, intellectual autonomy, and intellectual carefulness. We end by considering two possible interlinked ways of trying to remedy (...) this situation: [i] redesigning the epistemic tool to improve the epistemic virtues of memory, perception, and attention; and [ii] the cultivation of cognitive diligence for wayfinding tasks scaffolding intellectual autonomy and carefulness. (shrink)

Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and used (...) by humans. This includes issues of privacy (§2.1) and manipulation (§2.2), opacity (§2.3) and bias (§2.4), human-robot interaction (§2.5), employment (§2.6), and the effects of autonomy (§2.7). Then AI systems as subjects, i.e., ethics for the AI systems themselves in machine ethics (§2.8) and artificial moral agency (§2.9). Finally, the problem of a possible future AI superintelligence leading to a “singularity” (§2.10). We close with a remark on the vision of AI (§3). - For each section within these themes, we provide a general explanation of the ethical issues, outline existing positions and arguments, then analyse how these play out with current technologies and finally, what policy consequences may be drawn. (shrink)

The present article focuses on the issue of ignoring conversational partners in favor of one’s phone, or what has also become known as phubbing. Prior research has shown that this behavior is associated with a host of negative interpersonal consequences. Since phubbing by definition entails adverse effects, however, it is interesting to explore why people continue to engage in this hurtful behavior: Are they unaware that phubbing is hurtful to others? Or do they simply not care? Building on interviews with (...) students in a Danish business college, the article reveals a pronounced discrepancy in young people’s relationship to phubbing: While they emphatically denounce phubbing as both annoying and disrespectful, they readily admit to phubbing others. In other words, they often act against their own moral convictions. Importantly, participants describe this discrepancy as a result of an unintentional inclination to divert attentional engagement. On the basis of these results, the article develops the notion of digital akrasia, which can be defined as a tendency to become swept up by ones digital devices in spite of better intentions. It is proposed that this phenomenon may be the result of bad technohabits. Further implications are discussed. (shrink)