Scientific Explanations in Health Sciences: Causality, Trust, and Epistemic Adequacy
Medical Artificial Intelligence (AI) is widely expected to transform clinical practice, yet the decision-making processes of many Machine Learning (ML) models remain opaque. Explainability has been advanced as a partial remedy to clarify why AI generates predictions, particularly in high-stakes contexts. Despite ongoing efforts, debates on what constitutes an adequate medical explanation remain unsettled. Yet, explanation has long been a central topic of inquiry in the philosophy of science and
Record details
Published: 30 June 2026
Source: arXiv
Category: Research
Topics: Healthcare · Transparency
Retrieved: 14 July 2026
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ethics.ai (30 June 2026), “Scientific Explanations in Health Sciences: Causality, Trust, and Epistemic Adequacy,” evidence record 396, https://ethics.ai/record/396 (originally published by arXiv).
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