Law Commons^™

When Ais Outperform Doctors: Confronting The Challenges Of A Tort-Induced Over-Reliance On Machine Learning, A. Michael Froomkin, Ian Kerr, Joelle Pineau

Articles

Someday, perhaps soon, diagnostics generated by machine learning (ML) will have demonstrably better success rates than those generated by human doctors. What will the dominance of ML diagnostics mean for medical malpractice law, for the future of medical service provision, for the demand for certain kinds of doctors, and in the long run for the quality of medical diagnostics itself?

This Article argues that once ML diagnosticians, such as those based on neural networks, are shown to be superior, existing medical malpractice law will require superior ML-generated medical diagnostics as the standard of care in clinical settings. Further, unless implemented …