We argue that while digital health technologies (e.g. artificial intelligence, smartphones, and virtual reality) present significant opportunities for improving the delivery of healthcare, key concepts that are used to evaluate and understand their impact can obscure significant ethical issues related to patient engagement and experience. Specifically, we focus on the concept of empowerment and ask whether it is adequate for addressing some significant ethical concerns that relate to digital health technologies for mental healthcare. We frame these concerns using five key (...) ethical principles for AI ethics (i.e. autonomy, beneficence, non-maleficence, justice, and explicability), which have their roots in the bioethical literature, in order to critically evaluate the role that digital health technologies will have in the future of digital healthcare. (shrink)

Mental health apps bring unprecedented benefits and risks to individual and public health. A thorough evaluation of these apps involves considering two aspects that are often neglected: the algorithms they deploy and the functions they perform. We focus on mental health apps based on black box algorithms, explore their forms of opacity, discuss the implications derived from their opacity, and propose how to use their outcomes in mental healthcare, self‐care practices, and research. We argue that there is a relevant distinction (...) between functions performed by algorithms in mental health apps, and we focus on the functions of analysis and generation of advice. When performing analytic functions, such as identifying patterns and making predictions concerning people's emotions, thoughts, and behaviors, black box algorithms can be better than other algorithms to provide information to identify early signs of relapse, support diagnostic processes, and improve research by generating outcomes that lead to a better understanding of mental health. However, when carrying out the function of providing mental health advice, black box algorithms have the potential to deliver unforeseen advice that may harm users. We argue that the outcomes of these apps may be trustworthy as a complementary source of information, but express caution about black box algorithms that give advice directly to users. To reap the benefits of mental health apps based on black box algorithms and avoid unintended consequences, we critically need to know whether these algorithms are fulfilling the function of providing mental health advice. (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)

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)