The AI Ethics Principle of Autonomy in Health Recommender Systems

The application of health recommender systems (HRSs) in the mobile-health (m-health) industry, especially for healthy active aging, has grown exponentially over the past decade. However, no research has been conducted on the ethical implications of HRSs and the ethical principles for their design. This paper aims to fill this gap and claims that an ethically informed re-definition of the AI ethics principle of autonomy is needed to design HRSs that adequately operationalize (that is, respect and promote) individuals’ autonomy over ageing. To achieve this goal, after having clarified the state-of-the-art on HRSs, I present the reasons underlying the need to focus on autonomy as a prominent ethical issue and principle for the design of HRSs. Then, I pursue an inquiry on autonomy in HRSs and show that HRSs can both promote individuals’ autonomy and undermine it, also leading to phenomena of passive ageing. In particular, I claim that this is also due to the concept of autonomy underlying the debate on HRSs-based m-health, which is sometimes misleading, as it mainly coincides with informational self-determination. Using ethical reasoning, I shed light on a more complex account of autonomy and I redefine the AI ethics principle of autonomy accordingly. I show that autonomy and informational self-determination do not overlap. I also show that autonomy encompasses also a socio-relational dimension and that it requires both authenticity conditions and social recognition conditions. Finally, I analyze the implications of my ethical redefinition of autonomy for the design of autonomy-enabling HRSs for healthy active ageing.