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)

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)

Dark patterns have received significant attention in literature as interface design practices which undermine users’ autonomy by coercing, misleading or manipulating their decision making and behavior. Individual autonomy has been argued to be one of the normative lenses for the evaluation of dark patterns. However, theoretical perspectives on autonomy have not been sufficiently adapted in literature to identify the ethical concerns raised by dark patterns. The aim of this paper is to conceptualize user autonomy within the context of dark patterns. (...) In this paper, we systematically review 151 dark patterns from 16 taxonomies to understand how dark patterns threaten users’ autonomy. We demonstrate through this analysis that implications for autonomy arise along four dimensions, because autonomy itself can be understood as subsuming several distinguishable concepts. These are agency, freedom of choice, control and independence. We argue that an assessment of whether a design pattern qualifies as ‘dark’ should account for the sense in which autonomy is threatened, as individuals’ rights and expectations of autonomy vary in various contexts and depend upon the interpretation of autonomy. This paper aims to contribute to the development of the normative lens of individual autonomy for the evaluation of dark patterns, as well as for persuasive design more broadly. (shrink)

This article presents the framework Capability Sensitive Design (CSD), which consists of merging the design methodology Value Sensitive Design (VSD) with Martha Nussbaum's capability theory. CSD aims to normatively assess technology design in general, and technology design for health and wellbeing in particular. Unique to CSD is its ability to account for human diversity and to counter (structural) injustices that manifest in technology design. The basic framework of CSD is demonstrated by applying it to the hypothetical design case of a (...) therapy chatbot for mental health. By applying CSD to a design case, the merits of this new framework over the standard VSD approach become apparent. Also, the application demonstrates what a technology design would look like when attention is paid to capabilities right from the start of the design process. (shrink)