Harmful epistemic dependence on medical machine learning and its moral implications.

• Tác giả: Stefan Buijsman, Giorgia Pozzi, Jeroen van den Hoven
• Ngôn ngữ: eng
• Ký hiệu phân loại: 006.31 Machine learning
• Thông tin xuất bản: England : Journal of medical ethics , 2025
• Bộ sưu tập: NCBI
• ID: 227105

Tóm tắt

The advances in machine learning (ML)-based systems in medicine give rise to pressing epistemological and ethical questions. Clinical decisions are increasingly taken in highly digitised work environments, which we call artificial epistemic niches. By considering the case of ML systems in life-critical healthcare settings, we investigate (1) when users' reliance on these systems can be characterised as epistemic dependence and (2) how this dependence turns into what we refer to as harmful epistemic dependence of clinical professionals on medical ML. The latter occurs when the impossibility of critically assessing the soundness of a system's output