Mobile health devices pose novel questions at the intersection of philosophy and technology. Many such applications not only collect sensitive data, but also aim at persuading users to change their lifestyle for the better. A major concern is that persuasion is paternalistic as it intentionally aims at changing the agent’s actions, chipping away at their autonomy. This worry roots in the philosophical conviction that perhaps the most salient feature of living autonomous lives is displayed via agency as opposed to patiency—our (...) lives go well in virtue of what we do, rather than what happens to us. Being persuaded by a device telling us how to conduct our lives seemingly renders the agent passive, an inert recipient of technological commands. This agential bias, however, has led to a marginalization of patiential characteristics that are just as much part of our lives as are agential characteristics. To appreciate the inherent interlocking of acting and being acted upon, it is vital to acknowledge that agency and patiency are correlates, not mutually exclusive opposites. Furthermore, it is unclear whether an action can only count as agential so long as its causes are internal. Drawing on the extended mind and extended will framework, I argue that mHealth applications merely serve as volitional aids to the agent’s internal cognition. Autonomously set goals can be achieved more effectively via technology. To be persuaded by an mHealth device does not mainly—let alone exclusively—emphasize patiency; on the contrary, it can be an effective tool for technologically enhancing agency. (shrink)

In this review, I analyse how ‘behaviour-based personalisation’ in insurance – that is, insurers’ increased interest in tracking and manipulating insureds’ behaviour with, for instance, wearable devices – has been approached in recent social scientific literature. In the review, I focus on two streams of literature, critical data studies and the sociology of insurance, discussing the new insurance schemes that utilise sensor-generated and digital data. The aim of this review is to compare these two approaches and to analyse what kinds (...) of understandings, methodologies and theoretical perspectives they apply to so-called ‘behaviour-based insurance’. The critical data studies literature emphasises the exploitative aspects of these new technologies and mobilises behaviour-based insurance to exemplify the negative outcomes of digital health. Scholars from the field of the sociology of insurance empirically analyse the practices of behavioural-based personalisation and study how regulating and ‘doing’ insurance affect attempts to personalise it. I highlight the importance of approaching insurance as a specific financial technology and argue that more research is needed to understand the practices of developing behaviour-based insurance schemes and the insureds’ experiences. (shrink)

The concept of meaningful work has recently received increased attention in philosophy and other disciplines. However, the impact of the increasing robotization of the workplace on meaningful work has received very little attention so far. Doing work that is meaningful leads to higher job satisfaction and increased worker well-being, and some argue for a right to access to meaningful work. In this paper, we therefore address the impact of robotization on meaningful work. We do so by identifying five key aspects (...) of meaningful work: pursuing a purpose, social relationships, exercising skills and self-development, self-esteem and recognition, and autonomy. For each aspect, we analyze how the introduction of robots into the workplace may diminish or enhance the meaningfulness of work. We also identify a few ethical issues that emerge from our analysis. We conclude that robotization of the workplace can have both significant negative and positive effects on meaningful work. Our findings about ways in which robotization of the workplace can be a threat or opportunity for meaningful work can serve as the basis for ethical arguments for how to—and how not to—implement robots into workplaces. (shrink)

Mobile health applications that promise the user to help her with some aspect of her health are very popular: for-profit apps such as MyFitnessPal, Fitbit, or Headspace have tens of millions of users each. For-profit health apps are designed and run as optimization systems. One would expect that these health apps aim to optimize the health of the user, but in reality they aim to optimize user engagement and, in effect, conversion. This is problematic, I argue, because digital health environments (...) that aim to optimize user engagement risk being manipulative. To develop this argument, I first provide a brief analysis of the underlying business models and the resulting designs of the digital environments provided by popular for-profit health apps. In a second step, I present a concept of manipulation that can help analyze digital environments such as health apps. In the last part of the article, I use my concept of manipulation to analyze the manipulative potential of for-profit health apps. Although for-profit health can certainly empower their users, the conditions for empowerment also largely overlap with the conditions for manipulation. As a result, we should be cautious when embracing the empowerment discourse surrounding health apps. An additional aim of this article is to contribute to the rapidly growing literature on digital choice architectures and the ethics of influencing behavior through such choice architectures. I take health apps to be a paradigmatic example of digital choice architectures that give rise to ethical questions, so my analysis of the manipulative potential of health apps can also inform the larger literature on digital choice architectures. (shrink)

Novel technological devices, applications, and algorithms can provide us with a vast amount of personal information about ourselves. Given that we have ethical and practical reasons to pursue self-knowledge, should we use technology to increase our self-knowledge? And which ethical issues arise from the pursuit of technologically sourced self-knowledge? In this paper, I explore these questions in relation to bioinformation technologies (health and activity trackers, DTC genetic testing, and DTC neurotechnologies) and algorithmic profiling used for recommender systems, targeted advertising, and (...) technologically supported decision-making. First, I distinguish between impersonal, critical, and relational self-knowledge. Relational self-knowledge is a so far neglected dimension of self-knowledge which is introduced in this paper. Next, I investigate the contribution of these technologies to the three types of self-knowledge and uncover the connected ethical concerns. Technology can provide a lot of impersonal self-knowledge, but we should focus on the quality of the information which tends to be particularly insufficient for marginalized groups. In terms of critical self-knowledge, the nature of technologically sourced personal information typically impedes critical engagement. The value of relational self-knowledge speaks in favour of transparency of information technology, notably for algorithms that are involved in decision-making about individuals. Moreover, bioinformation technologies and digital profiling shape the concepts and norms that define us. We should ensure they not only serve commercial interests but our identity and self-knowledge interests. (shrink)

This paper explores and rehabilitates the value of decisional privacy as a conceptual tool, complementary to informational privacy, for critiquing personalized choice architectures employed by self-tracking technologies. Self-tracking technologies are promoted and used as a means to self-improvement. Based on large aggregates of personal data and the data of other users, self-tracking technologies offer personalized feedback that nudges the user into behavioral change. The real-time personalization of choice architectures requires continuous surveillance and is a very powerful technology, recently coined as (...) “hypernudging.” While users celebrate the increased personalization of their coaching devices, “hypernudging” technologies raise concerns about manipulation. This paper addresses that intuition by claiming that decisional privacy is at stake. It thus counters the trend to solely focus on informational privacy when evaluating information and communication technologies. It proposes that decisional privacy and informational privacy are often part of a mutually reinforcing dynamic. Hypernudging is used as a key example to illustrate that the two dimensions should not be treated separately. Hypernudging self-tracking technologies compromise autonomy because they violate informational and decisional privacy. In order to effectively judge whether technologies that use hypernudges empower users, we need both privacy dimensions as conceptual tools. (shrink)

Research on privacy practices in digital environments has oftentimes discovered a paradoxical relationship between users’ discursive appraisal of privacy and their actual practices: the “privacy paradox.” The emergence of this paradox prompts us to conduct ethnography of a health and fitness platform in order to flesh out the structural mechanisms generating this paradox. We provide an ethnographic analysis of surveillance capitalism in action that relates front-end practices empirically to the data economy’s back-end operations to show how this material-semiotic setup elicits (...) users’ desire to become self-determined subjects in a way that makes them amenable as objects of behavioral engineering. We combine different ethnographic methods and materials to specify how different types of values are produced and translated on the investigated platform. The latter offers users the values of self-mastery and social visibility. However, the data generated in this process serve to translate these values into the value of economic amenability and thereupon ultimately into economic profit. What gets lost in translation, though, is the front-end promise of self-mastery. It is these structural mechanisms that generate the privacy paradox in the first place. (shrink)

This article investigates how human life is conceptualized in the design and use of digital assistants and how this conceptualization feeds back into the life really lived. It suggests that a specific way of conceptualizing human life — namely as a set of tasks to be optimized — is responsible for the much-criticized information hunger of these digital assistants. The data collection of digital assistants raises not just several issues of privacy, but also the potential for improving people’s degree of (...) self-determination, because the optimization model of daily activity is genuinely suited to a certain mode of self-determination, namely the explicit and reflective setting, pursuing, and monitoring of goals. Furthermore, optimization systems’ need for generation and analysis of data overcomes one of the core weaknesses in human capacities for self-determination, namely problems with objective and quantitative self-assessment. It will be argued that critiques according to which digital assistants threaten to reduce their users’ autonomy tend to ignore that the risks to autonomy are derivative to potential gains in autonomy. These critiques are based on an overemphasis of a success conception of autonomy. Counter to this conception, being autonomous does not require a choice environment that exclusively supports a person’s “true” preferences, but the opportunity to engage with external influences, supportive as well as adverse. In conclusion, it will be argued that ethical evaluations of digital assistants should consider potential gains as well as potential risks for autonomy caused by the use of digital assistants. (shrink)

Purpose This paper aims to fill this gap by providing a conceptual framework for discussing “technologies of the self and other,” by showing that, in most cases, self-tracking also involves other-tracking. Design/methodology/approach In so doing, we draw upon Foucault’s “technologies of the self” and present-day literature on self-tracking technologies. We elaborate on two cases and practical domains to illustrate and discuss this mutual process: first, the quantified workplace; and second, quantification by wearables in a non-clinical and self-initiated context. Findings The (...) main conclusion is that these shapings are never neutral and have ethical implications, such as regarding “quantified otherness,” a notion we propose to point at the risk that the other could become an object of examination and competition. Originality/value Although there is ample literature on the quantified self, considerably less attention is given to how the relation with the other is being shaped by self-tracking technologies that allow data sharing. (shrink)

Smartphones and mobile applications are omnipresent in our lives. At the core of this article are ‘other-tracking apps’, i.e. mobile applications that make it possible, via location technology, to track others. These apps ensure that we are never unconnected from the network of ubiquitous information and, via that network, from others. In specific, focus lies on apps designed for parents to remotely track the whereabouts of their child. This particular case can be considered as one example of broader reflection on (...) what continuous technical connectivity means in moral terms. Other-tracking apps give new ground to moral queries related to information technologies. Even though there is little doubt that parents might implement these technologies with good intention to extend care and responsibility over a distance, our concern is that they mistake control for care. This article seeks to demonstrate that a critical stance towards other-tracking by parents is required, because these apps raise a number of concerns that should be recognized as they are implemented. A number of moral critiques are expressed and discussed. These apps have the potential to engender a situation of ‘over-proximity’. A framework is hence required that emphasizes maintaining the critical distance to respect the other’s heterogeneity, autonomy, and privacy. (shrink)

In current phenomenology of medicine, health is often understood as a state of transparency in which our body refrains from being an object of explicit attention. In this paper, I argue that such an understanding of health unnecessarily presupposes an overly harmonious alignment between subjective and objective body, resulting in the idea that our health remains phenomenologically inaccessible. Alternatively, I suggest that there are many occasions in which one’s body in health does become an object of attention, and that technologies (...) mediate how a relation with one’s body is formed. First, I show prominent accounts in current phenomenology of medicine understand health in terms of a harmonious alignment between objective and subjective body. Second, I argue that there are many occasions in which there is a disharmony between objective and subjective body, and suggest that also in health, we cannot escape being an object that we often relate to. Then, I draw on postphenomenology to show how technologies such as digital self-tracking applications and digital twins can be understood as mediating the relationship with one’s own body in a specific way. In conclusion, I argue that both technologies make present the objective body as a site for hermeneutic inquiry such that it can be interacted with in terms of health parameters. Furthermore, I point to some relevant differences in how different technologies make aspects of our own body phenomenologically present. (shrink)

The growth of self-tracking and personal surveillance has given rise to the Quantified Self movement. Members of this movement seek to enhance their personal well-being, productivity, and self-actualization through the tracking and gamification of personal data. The technologies that make this possible can also track and gamify aspects of our interpersonal, romantic relationships. Several authors have begun to challenge the ethical and normative implications of this development. In this article, we build upon this work to provide a detailed ethical analysis (...) of the Quantified Relationship. We identify eight core objections to the QR and subject them to critical scrutiny. We argue that although critics raise legitimate concerns, there are ways in which tracking technologies can be used to support and facilitate good relationships. We thus adopt a stance of cautious openness toward this technology and advocate the development of a research agenda for the positive use of QR technologies. (shrink)

Alongside existing research into the social, political and economic impacts of the Web, there is a need to study the Web from a cognitive and epistemic perspective. This is particularly so as new and emerging technologies alter the nature of our interactive engagements with the Web, transforming the extent to which our thoughts and actions are shaped by the online environment. Situated and ecological approaches to cognition are relevant to understanding the cognitive significance of the Web because of the emphasis (...) they place on forces and factors that reside at the level of agent–world interactions. In particular, by adopting a situated or ecological approach to cognition, we are able to assess the significance of the Web from the perspective of research into embodied, extended, embedded, social and collective cognition. The results of this analysis help to reshape the interdisciplinary configuration of Web Science, expanding its theoretical and empirical remit to include the disciplines of both cognitive science and the philosophy of mind. (shrink)

This study concerns the sociotechnical bases of human autonomy. Drawing on recent literature on AI ethics, philosophical literature on dimensions of autonomy, and on independent philosophical scrutiny, we first propose a multi-dimensional model of human autonomy and then discuss how AI systems can support or hinder human autonomy. What emerges is a philosophically motivated picture of autonomy and of the normative requirements personal autonomy poses in the context of algorithmic systems. Ranging from consent to data collection and processing, to computational (...) tasks and interface design, to institutional and societal considerations, various aspects related to sociotechnical systems must be accounted for in order to get the full picture of potential effects of AI systems on human autonomy. It is clear how human agents can, for example, via coercion or manipulation, hinder each other’s autonomy, or how they can respect each other’s autonomy. AI systems can promote or hinder human autonomy, but can they literally respect or disrespect a person’s autonomy? We argue for a philosophical view according to which AI systems—while not moral agents or bearers of duties, and unable to literally respect or disrespect—are governed by so-called “ought-to-be norms.” This explains the normativity at stake with AI systems. The responsible people (designers, users, etc.) have duties and ought-to-do norms, which correspond to these ought-to-be norms. (shrink)

Debates about terrorism and technology often focus on the potential uses of technology by non-state terrorist actors and by states as forms of counterterrorism. Yet, little has been written about how technology shapes how we think about terrorism. In this chapter I argue that technology, and the language we use to talk about technology, constrains and shapes our understanding of the nature, scope, and impact of terrorism, particularly in relation to state terrorism. After exploring the ways in which technology shapes (...) moral thinking, I use two case studies to demonstrate how technology simultaneously hides and enables terroristic forms of state violence: police control technologies and Unmanned Aerial Vehicles (UAVs), or drones. In both these cases, I argue that features of these technologies, combined with a narrative of precision and efficiency, serves to mask the terroristic nature of the violence that these practices inflict and reinforces the moral exclusion of those against whom these technologies are deployed. In conclusion, I propose that identifying acts of terrorism requires a focus on the impact of technologies of violence (whether they are “high tech” or not) on those most affected, regardless of whether users of these technologies conceive of their actions as terroristic. (shrink)