In the past few years, the ethical ramifications of AI technologies have been at the center of intense debates. Considerable attention has been devoted to understanding how a morally responsible practice of data science can be promoted and which values have to shape it. In this context, ethics and moral responsibility have been mainly conceptualized as compliance to widely shared principles. However, several scholars have highlighted the limitations of such a principled approach. Drawing from microethics and the virtue theory tradition, (...) in this paper, we formulate a different approach to ethics in data science which is based on a different conception of “being ethical” and, ultimately, of what it means to promote a morally responsible data science. First, we develop the idea that, rather than only compliance, ethical decision-making consists in using certain moral abilities, which are cultivated by practicing and exercising them in the data science process. An aspect of virtue development that we discuss here is moral attention, which is the ability of data scientists to identify the ethical relevance of their own technical decisions in data science activities. Next, by elaborating on the capability approach, we define a technical act as ethically relevant when it impacts one or more of the basic human capabilities of data subjects. Therefore, rather than “applying ethics”, data scientists should cultivate ethics as a form of reflection on how technical choices and ethical impacts shape one another. Finally, we show how this microethical framework concretely works, by dissecting the ethical dimension of the technical procedures involved in data understanding and preparation of electronic health records. (shrink)

The review by De Bie et al. (2023) provides an overview of the current ethical literature on artificial womb technology (AWT). Two characteristics stand out, and provide the basis for our commentar...

The prevailing discourse around AI ethics lacks the language and formalism necessary to capture the diverse ethical concerns that emerge when AI systems interact with individuals. Drawing on Sen and Nussbaum’s capability approach, we present a framework formalizing a network of ethical concepts and entitlements necessary for AI systems to confer meaningful benefit or assistance to stakeholders. Such systems enhance stakeholders’ ability to advance their life plans and well-being while upholding their fundamental rights. We characterize two necessary conditions for morally (...) permissible interactions between AI systems and those impacted by their functioning, and two sufficient conditions for realizing the ideal of meaningful benefit. We then contrast this ideal with several salient failure modes, namely, forms of social interactions that constitute unjustified paternalism, coercion, deception, exploitation and domination. The proliferation of incidents involving AI in high-stakes domains underscores the gravity of these issues and the imperative to take an ethics-led approach to AI systems from their inception. (shrink)

Mobile health (mHealth) technologies for self-monitoring health-relevant parameters such as heart frequency, sleeping patterns or exercise regimes aim at fostering healthy behavior change and increasing the individual users to promote and maintain their health. We argue that this aspect of mHealth supports healthism, the increasing shift from institutional responsibility for public health toward individual engagement in maintaining health as well as mitigating health risks. Moreover, this healthist paradigm leads to a shift from understanding health as the absence of illness to (...) regarding health as the performance of certain rituals in order to project healthiness. By drawing from the analogy between healthiness and traditional virtues, we evaluate the promises made by proponents of mHealth technologies for self-monitoring. We argue that the implementation and use of mHealth risk entrenching existing inequalities and, more particularly, tend to exclude populations situated at the losing end of those inequalities from participating in the quasi-virtue of healthiness. Consequently, the implementation and use of mHealth technologies not only present challenges for social justice but also undermine their primary societal goal—to promote public health. Finally, we offer several suggestions on how to realize the potential benefit of mHealth. (shrink)

In today’s highly dynamic societies, moral norms and values are subject to change. Moral change is partly driven by technological developments. For instance, the introduction of robots in elderly care practices requires caregivers to share moral responsibility with a robot (see van Wynsberghe 2013 ). Since we do not know what elements of morality will change and how they will change (see van der Burg 2003 ), moral education should aim at fostering what has been called “moral resilience” (Swierstra 2013 (...) ). We seek to fill two gaps in the existing literature: (i) research on moral education has not paid enough attention to the development of moral resilience; (ii) the very limited literature on moral resilience does not conceptualise moral resilience in relation to new technological developments. We argue that philosophical accounts of moral education need to do justice to the importance of moral resilience, and that a specific form of moral resilience should be conceptualised as “technomoral resilience” to underline the added value of cultivating moral resilience in relation to technomoral change. We illustrate the role of technomoral resilience in practice by looking at the context of elderly care. To make the first step towards an account of how technomoral resilience can be fostered in moral education, we propose that moral education shall focus on a triangle of capacities: (1) moral imagination, (2) a capacity for critical reflection, and (3) a capacity for maintaining one’s moral agency in the face of disturbances. (shrink)

Informed decision-making (IDM) is considered an important ethical and legal requirement for population-based screening. Governments offering such screening have a duty to enable invitees to make informed decisions regarding participation. Various views exist on how to define and measure IDM in different screening programmes. In this paper we first address the question which components should be part of IDM in the context of cancer screening. Departing from two diverging interpretations of the value of autonomy—as a right and as an ideal—we (...) describe how this value is operationalized in the practice of informed consent in medicine and translate this to IDM in population-based cancer screening. Next, we specify components of IDM, which is voluntariness and the requirements of disclosure and understanding. We argue that whereas disclosure should contain all information considered relevant in order to enable authentic IDM, understanding of basic information is sufficient for a valid IDM. In the second part of the paper we apply the capability approach in order to argue for the responsibility of the government to warrant equal and real opportunities for invitees for IDM. We argue that additional conditions beyond mere provision of information are needed in order to do so. (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)

A variety of approaches have appeared in academic literature and in design practice representing “ethics-first” methods. These approaches typically focus on clarifying the normative dimensions of design, or outlining strategies for explicitly incorporating values into design. While this body of literature has developed considerably over the last 20 years, two themes central to the endeavour of ethics and values in design (E + VID) have yet to be systematically discussed in relation to each other: (a) designer agency, and (b) the (...) strength of normative claims informing the design process. To address this gap, we undertook a structured review of leading E + VID approaches and critiques, and classified them according to their positions on normative strength, and views regarding designer agency. We identified 18 distinct approaches and 13 critiques that met the inclusion criteria for our review. Included papers were distributed across the spectrum of views regarding normative strength, and we found that no approaches and only one critique represented a view characteristic of “low” designer agency. We suggest that the absence of “low” designer agency approaches results in the neglect of crucial influences on design as targets of intervention by designers. We conclude with suggestions for future research that might illuminate strategies to achieve ethical design in information mature societies, and argue that without attending to the tensions raised by balancing normatively “strong” visions of the future with limitations imposed on designer agency in corporate-driven design settings, “meaningful” ethical design will continue to encounter challenges in practice. (shrink)