AI Summary: This article examines the epistemic tension between the "felt self," rooted in personal experience, and the "datafied self," shaped by algorithmic modeling within healthcare digital twin environments. Utilizing Jung's concepts of the Self and the Shadow, the authors argue that these digital systems can obscure important aspects of health and identity while also revealing uncomfortable truths about individual health behaviors. The study highlights the dual potential of digital twins to either enhance self-awareness through data insights or exacerbate self-surveillance and undermine personal autonomy, emphasizing the importance of design and governance in shaping these outcomes. By framing healthcare digital twins as complex socio-technical systems, the authors contribute to ongoing discussions about identity and agency in the context of AI and healthcare.
A review of <i>Robophilosophy</i>, edited by Johanna Seibt, Raul Hakli, and Marco Nørskov
AI Summary: In the edited volume "Robophilosophy," Seibt, Hakli, and Nørskov explore the implications of social robotics within the context of applied philosophy and technology governance. They identify a "triple gridlock" that obstructs research-based policymaking and argue for the necessity of philosophical expertise in addressing the challenges posed by the integration of social robots into everyday life. The volume discusses the moral status of social robots and the complexities of their deployment in various societal settings, emphasizing that current decisions regarding their development may have lasting consequences. While it does not provide a specific policy framework, the work is positioned as essential for understanding the conceptual issues surrounding the governance of social robots.