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Transparency, Evaluation and Going From “Ethics-Washing” to Enforceable Regulation: On Machine Learning-Driven Clinician Decision Aids
American Journal of Bioethics 24 (9):117-120 (2024)
Abstract
There is significant potential for machine learning (ML) models and systems to enhance prognostic, diagnostic, and therapeutic decision-making in the healthcare context. When used in clinical setti...Author's Profile
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What Are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When Using Machine Learning-Driven Decision Aids.Sabine Salloch & Andreas Eriksen - 2024 - American Journal of Bioethics 24 (9):67-78.
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