TY  - JOUR
T1  - Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical Analysis
A1  - Tiribelli, Simona
A1  - Calvaresi, Davide
JA  - Science and Engineering Ethics
Y1  - 2024
M2  - doi: https://doi.org/10.1017/s1358246117000042
KW  - active aging
KW  - AI ethics
KW  - autonomy
KW  - health recommender systems
KW  - persuasion technology
N2  - Health Recommender Systems (HRS) are promising Articial-Intelligence (AI)-based tools endowing healthy lifestyles and therapy adherence in healthcare and medicine.
Among the most supported areas, it is worth mentioning active aging (AA). However, current HRS supporting AA raise ethical challenges that still need to be properly formalized and explored. This study proposes to rethink HRS for AA through an autonomy-based ethical analysis. In particular, a brief overview of the HRS' technical aspects allows us to shed light on the ethical risks and challenges they might raise on individuals' well-being as they age. Moreover, the study proposes a categorization, understanding, and possible preventive/mitigation actions for the elicited risks and challenges
through rethinking the AI ethics core principle of autonomy. Finally, elaborating on autonomy-related ethical theories, the paper proposes an autonomy-based ethical framework and how it can foster the development of autonomy-enabling HRS for AA.
ER  -