Amid the growing interest in the relationship between technology and human flourishing, philosophical perfectionism can serve as a fruitful lens through which to normatively evaluate technology. This paper offers an analytic framework that explains the relationship between technology and flourishing by way of innate human capacities. According to perfectionism, our human flourishing is determined by how well we exercise our human capacities to know, create, be sociable, use our bodies and exercise the will, by engaging in activities that ultimately produce (...) valuable output. The paper introduces technology affordances to this framework, to show how affordances enable or restrict the exercise of human capacities, thereby impacting levels of human flourishing. One implication of this analysis is that it highlights how technology affordances can cause the privation (absence) of flourishing, by impoverishing capacities. The upshot is that privation may bring about robustly bad unflourishing, especially given that technology and its affordances have the power to degrade the human capacities in the long run. By linking how human capacities are shaped by affordances, we can achieve a better understanding of the ethical implications of technology on human flourishing. (shrink)

Mark Coeckelbergh (Int J Soc Robot 1:217–221, 2009) argues that robot ethics should investigate what interaction with robots can do to humans rather than focusing on the robot’s moral status. We should ask what robots do to our sociality and whether human–robot interaction can contribute to the human good and human flourishing. This paper extends Coeckelbergh’s call and investigate what it means to live with disembodied AI-powered agents. We address the following question: Can the human–AI interaction contribute to our moral (...) development? We present an empirically informed philosophical analysis of how the AI personal assistant Siri changes its users’ way of life, based on the responses obtained from 20 semi-directive individual interviews with Siri users. We identify changes in the users’ social interaction associated with the adoption of Siri. These changes include: (1) the indirect effect of reducing opportunities of human interaction, (2) the second-order effect of diminished expectations toward each other in a community, and (3) the acquired preference to obtain hassle-free interaction with Siri over human interaction. We examine them in relation to concerns that are voiced in the current debates over the rise of AI, namely the suspicion that humans could become overly reliant on AI (Danaher 2019) and the worry that social AI could impede on moral development (Fröding and Peterson, Ethics Inf Technol 23:207–214, 2012; Li, Ethics Inf Technol 23:543–550, 2021). We analyze the ethical costs that come from these changes in light of virtue ethics and address potential objections along the way. We end by offering directions for thinking about how to live with AI personal assistant while preserving favorable conditions for moral development. (shrink)

Depression is a common and devastating instance of ill-being which deserves an account. Moreover, the ill-being of depression is impacted by digital technology: some uses of digital technology increase such ill-being while other uses of digital technology increase well-being. So a good account of ill-being would explicate the antecedents of depressive symptoms and their relief, digitally and otherwise. This paper borrows a causal network account of well-being and applies it to ill-being, particularly depression. Causal networks are found to provide a (...) principled, coherent, intuitively plausible, and empirically adequate account of cases of depression in every-day and digital contexts. Causal network accounts of ill-being also offer philosophical, scientific, and practical utility. Insofar as other accounts of ill-being cannot offer these advantages, we should prefer causal network accounts of ill-being. (shrink)

This chapter serves as an introduction to the edited collection of the same name, which includes chapters that explore digital well-being from a range of disciplinary perspectives, including philosophy, psychology, economics, health care, and education. The purpose of this introductory chapter is to provide a short primer on the different disciplinary approaches to the study of well-being. To supplement this primer, we also invited key experts from several disciplines—philosophy, psychology, public policy, and health care—to share their thoughts on what they (...) believe are the most important open questions and ethical issues for the multi-disciplinary study of digital well-being. We also introduce and discuss several themes that we believe will be fundamental to the ongoing study of digital well-being: digital gratitude, automated interventions, and sustainable co-well-being. (shrink)

The characteristics of green intelligent engineering ethics emphasize the necessity of GI engineering ethics education. The ethics education of GI engineering is in the development stage, and it is urgent to fully understand the significance of evaluating the development of GI EEE. Only based on the GI manufacturing situation system to understand the implementation status of the core education of EEE can we objectively grasp the improvement space of GI EEE. In this study, the corresponding indicators were selected from three (...) dimensions of cultivation education, collaborative education, and situational education to form the element community of evaluation indicators. The fuzzy analytic hierarchy process and the fuzzy comprehensive evaluation method were used to empirically evaluate the implementation of the key mechanism of GI EEE. The results are as follows. The key education of GI EEE includes cultivation education of micro dimension, collaborative education of medium dimension, and situational education of macro dimension. The most important education is to strengthen the ethics education of GI engineering in the training process of college students. The coordination of GI EEE is becoming more and more important, and the integration and construction are the important pursuit of GI EEE. The cultivation education, collaborative education, and situational education of GI EEE are all at a general level. There is not only a gap between theory and practice in GI EEE but also insufficient attention to localization and coordination issues. The willingness of the government to participate in the ethical education of GI engineering is very insufficient. The optimized space of training education includes teaching cases and full-cycle ethical education. (shrink)

Social media technologies are routinely identified as a strong and pervasive threat to digital well-being. Extended screen time sessions, chronic distractions via notifications, and fragmented workflows have all been blamed on how these technologies ruthlessly undermine our ability to exercise quintessential human faculties. One reason SMTs can do this is because they powerfully affect our emotions. Nevertheless, how social media technology affects our emotional life and how these emotions relate to our digital well-being remain unexplored. Remedying this is important because (...) ethical insights into and open the possibility of designing for social media technologies in ways that actively reinforce our digital well-being. In this article, we examine the way social media technologies facilitate online emotions because of emotional affordances. This has important implications for evaluating the ethical implications of today’s social media platforms, as well as for how we design future ones. (shrink)

Mobile health (mHealth) apps for self-monitoring increasingly gain relevance for public health. As a mobile technology, they promote individual participation in health monitoring with the aim of disease prevention and the mitigation of health risks. In this paper, I argue that users of mHealth apps must engage in value trade-offs concerning their fundamental dimensions of well-being when using mobile health apps for the self-monitoring of health parameters. I particularly focus on trade-offs regarding the user’s self-determination as well as their capacity (...) to form personal attachments. Depending on the user’s level of advantage or disadvantage, value trade-offs can pose a threat to the users’ sufficient fulfillment of the dimensions of well-being. As such, value trade-offs can entrench existing structural injustices and prevent disadvantaged users to benefit from this technology. I argue that value trade-offs are, to some, a type of injustice that can drive disadvantaged users away from a sufficiency threshold of well-being, risk users to fall below the threshold, or have an accumulative effect on different dimensions of the user’s well-being. (shrink)

Artificial intelligence (AI) is increasingly relied upon by clinicians for making diagnostic and treatment decisions, playing an important role in imaging, diagnosis, risk analysis, lifestyle monitoring, and health information management. While research has identified biases in healthcare AI systems and proposed technical solutions to address these, we argue that effective solutions require human engagement. Furthermore, there is a lack of research on how to motivate the adoption of these solutions and promote investment in designing AI systems that align with values (...) such as transparency and fairness from the outset. Drawing on insights from psychological theories, we assert the need to understand the values that underlie decisions made by individuals involved in creating and deploying AI systems. We describe how this understanding can be leveraged to increase engagement with de-biasing and fairness-enhancing practices within the AI healthcare industry, ultimately leading to sustained behavioral change via autonomy-supportive communication strategies rooted in motivational and social psychology theories. In developing these pathways to engagement, we consider the norms and needs that govern the AI healthcare domain, and we evaluate incentives for maintaining the status quo against economic, legal, and social incentives for behavior change in line with transparency and fairness values. (shrink)

Artificial intelligence is shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To (...) reconcile some of these tensions and account for the AI-for-social-good perspective, the authors make suggestions of how AI in marketing can be leveraged to promote societal and environmental well-being. (shrink)

The abundance of literature on ethical concerns regarding artificial intelligence (AI) highlights the need to systematize, integrate, and categorize existing efforts through a systematic literature review. The article aims to investigate prevalent concerns, proposed solutions, and prominent ethical approaches within the field. Considering 309 articles from the beginning of the publications in this field up until December 2021, this systematic literature review clarifies what the ethical concerns regarding AI are, and it charts them into two groups: (i) ethical concerns that (...) arise from the design of AI and (ii) ethical concerns that arise from human–AI interactions. The analysis of the obtained sample highlights the most recurrent ethical concerns. Finally, it exposes the main proposals of the literature to handle the ethical concerns according to the main ethical approaches. It interprets the findings to lay the foundations for future research on the ethics of AI. (shrink)

This is an interdisciplinary article providing an account of a phenomenon that is quite widespread but has been thus far mostly neglected by scholars: the overuse of digital technologies. Digital overuse can be defined as a usage of digital technologies that subjects perceive as dissatisfactory and non-meaningful a posteriori. DO has often been implicitly conceived as one of the main obstacle to so-called digital well-being. The article is structured in two parts. The first provides a definition of the phenomenon and (...) a brief review of the explanations provided by various disciplines, in particular psychology and the evolutionary and behavioural sciences. Specifically, the article distinguishes between the endogenous and exogenous factors underlying digital overuse, that is between causes that seem to be intrinsic to digital technologies, and design techniques intentionally aimed at nudging users towards this behaviour. The second part is devoted to a discussion of the ethical concerns surrounding the phenomenon of the overuse of digital technologies, and how it may be possible to reduce such overuse among users. (shrink)

Global lockdowns during the COVID-19 pandemic have offered many people first-hand experience of how their daily online activities threaten their digital well-being. This article begins by critically evaluating the current approaches to digital well-being offered by ethicists of technology, NGOs, and social media corporations. My aim is to explain why digital well-being needs to be reimagined within a new conceptual paradigm. After this, I lay the foundations for such an alternative approach, one that shows how current digital well-being initiatives can (...) be designed in more insightful ways. This new conceptual framework aims to transform how philosophers of technology think about this topic, as well as offering social media corporations practical ways to design their technologies in ways that will improve the digital well-being of users. (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)

The COVID-19 pandemic has catalysed what may soon become a permanent digital transition in the domains of work, education, medicine, and leisure. This transition has also precipitated a spike in concern regarding our digital well-being. Prominent lobbying groups, such as the Center for Humane Technology, have responded to this concern. In April 2020, the CHT has offered a set of ‘Digital Well-Being Guidelines during the COVID-19 Pandemic.’ These guidelines offer a rule-based approach to digital well-being, one which aims to mitigate (...) the effects of moving much of our lives online. The CHT’s guidelines follow much recent interest in digital well-being in the last decade. Ethicists of technology have recently argued that character-based strategies and redesigning of online architecture have the potential to promote the digital well-being of online technology users. In this article, I evaluate the CHT’s rule-based approach, comparing it with character-based strategies and approaches to redesigning online architecture. I argue that all these approaches have some merit, but that each needs to contribute to an integrated approach to digital well-being in order to surmount the challenges of a post-COVID world in which we may well spend much of our lives online. (shrink)

Deep learning AI systems have proven a wide capacity to take over human-related activities such as car driving, medical diagnosing, or elderly care, often displaying behaviour with unpredictable consequences, including negative ones. This has raised the question whether highly autonomous AI may qualify as morally responsible agents. In this article, we develop a set of four conditions that an entity needs to meet in order to be ascribed moral responsibility, by drawing on Aristotelian ethics and contemporary philosophical research. We encode (...) these conditions and generate a flowchart that we call the Moral Responsibility Test. This test can be used as a tool both to evaluate whether an entity is a morally responsible agent and to inform human moral decision-making over the influencing variables of the context of action. We apply the test to the case of Artificial Moral Advisors and conclude that this form of AI cannot qualify as morally responsible agents. We further discuss the implications for the use of AMAs as moral enhancement and show that using AMAs to offload human responsibility is inadequate. We argue instead that AMAs could morally enhance users if they are interpreted as enablers for moral knowledge of the contextual variables surrounding human moral decision-making, with the implication that such a use might actually enlarge human moral responsibility. (shrink)

This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that is good for a human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to several (...) key social domains: healthcare, education, governance and social development, and media and entertainment. It also highlights three broader themes: positive computing, personalised human–computer interaction, and autonomy and self-determination. The review argues that three themes will be central to ongoing discussions and research by showing how they can be used to identify open questions related to the ethics of digital well-being. (shrink)

This paper analyzes a contemporary conception of digital despotism through themes drawn from classical Greek philosophy. By taking as a measure some of the most radically excluded categories of human existence, Aristotle’s slave and slavish types, I offer a way to understand digital despotism as a syndrome of overlapping risks to human impairment, brought about by the advent of automated data processing technologies, which dispossesses people along i) ontological and ii) cognitive dimensions. This conception aims to balance the appeal to (...) the _language_ of slavery in recent global historical, Marxist, republican, and postcolonial discourses on digital technology, while distinguishing itself from the coercive, material violence involved in the experiences of slavery itself. Unlike prior conceptions, this thematic idea of digital despotism moreover suggests political vulnerability to forms of despotic rule and integrates various risk factors that can therefore be better recognized in both policy intervention, and individual and/or collective resistance. (shrink)

La “Recomendación del Consejo de la OCDE sobre inteligencia artificial” es un conjunto de directrices y principios para el desarrollo y despliegue de sistemas de IA alineados con los valores y derechos humanos, la transparencia y la rendición de cuentas. Fue adoptada por el Consejo de la Organización para la Cooperación y el Desarrollo Económicos (OCDE) en mayo de 2019 e incluye cinco principios clave para la gobernanza de la IA. Ésta debe beneficiar a las personas y al planeta impul- (...) sando el crecimiento inclusivo, el desarrollo sostenible y el bienestar; los sistemas de IA deben respetar el estado de derecho, los derechos humanos, los valores democráticos y la diversidad; también deben ser transparentes para garantizar que las personas comprendan los resultados y puedan cuestionarlos; los sistemas deben ser sólidos, seguros y protegidos durante todo su ciclo de vida; y las partes interesadas deben colaborar para maximizar los beneficios de la IA y minimizar sus riesgos. Se concluye aquí que los Principios de IA de la OCDE han sido criticados por no ser vinculantes y carecer de un mecanismo formal de aplicación. Tampoco abordan preocupaciones sociales amplias, como el desplazamiento de puestos de trabajo y la concentración de poder en unas pocas empresas. Además, es posible que los principios no tengan en cuenta los retos a los que se enfrentan los países en desarrollo y estén demasiado centrados en los intereses de las economías avanzadas. Sin embargo, la Recomendación de la OCDE establece una serie de principios ampliamente aceptados y respaldados tanto por los miembros, como por los que no lo son. Entre los valores figuran la transparencia, la solidez, la seguridad, la responsabilidad, la justicia, la equidad y la determinación humana. Este conjunto compartido de principios proporciona una base sólida para el desarrollo responsable de la IA, más allá de las fronteras de los “países ricos”. (shrink)