Algorithmic Authority and the Clinical Standard of Care
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Abstract (arXiv)
The integration of artificial intelligence into clinical medicine creates a fundamental tension between algorithmic probabilistic reasoning and the experiential intuition of expert physicians; applying Lawrence Lessig's enquoteCode is Law framework, I argue that the architecture of clinical AI systems already functions as de facto medical regulation, reshaping liability and the standard of care. Reframing AI enquotehallucination as structurally analogous to well-documented human cognitive failures such as confirmation bias and premature diagnostic closure, I show that both failure modes demand a unified governance response. I therefore propose a dialectical standard of care that treats the integrated AI-physician dyad as the singular responsible diagnostic entity, mandating the synthesis of algorithmic precision with human interpretive authority within robust data governance and patient privacy frameworks.
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References · 10
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- 2025The Great Data Standoff: Researchers vs. Platforms Under the Digital Services Actcited by 1
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- 2026When Is Self-Disclosure Optimal? Incentives and Governance of AI-Generated Contentcited by 1
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