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 …

The Genie And The Bottle: Collateral Sources Under The September 11th Victim Compensation Fund, Kenneth S. Abraham, Kyle D. Logue

Articles

The September 11th Victim Compensation Fund of 2001 (the Fund) was part of legislation enacted just eleven days after the terrorist attacks of September 11th in the wake of extraordinary national loss. It is possible, therefore, that the Fund will always be considered an urgent and unique response to the unprecedented events of September 11th. On that view, the character of the Fund will have little longterm policy significance. It is equally possible, however, that the enactment of the Fund will prove to be a seminal moment in the history of tort and compensation law. The Fund adopts a new …