Law Commons^™

Potential Liability For Physicians Using Artificial Intelligence, W. Nicholson Price Ii, Sara Gerke, I Glenn Cohen

Articles

Artificial intelligence (AI) is quickly making inroads into medical practice, especially in forms that rely on machine learning, with a mix of hope and hype. Multiple AI-based products have now been approved or cleared by the US Food and Drug Administration (FDA), and health systems and hospitals are increasingly deploying AI-based systems. For example, medical AI can support clinical decisions, such as recommending drugs or dosages or interpreting radiological images.2 One key difference from most traditional clinical decision support software is that some medical AI may communicate results or recommendations to the care team without being able to communicate the …

Rediscovering The Issue Class In Mass Tort Mdls, Myriam E. Gilles, Gary Friedman

Articles

For the past twenty-plus years, MDL transferee judges have essentially regarded the class device as unavailable as they struggle to organize masses of tort actions sent their way by the JPML. Even the badges and incidents of class practice, in the form of common-fund-based approaches to attorney compensation and lead-counsel structures for case organization, have come under attack from commentators who insist that mass-tort MDLs should not be treated as “quasi-class actions,” and that Rule 23 does not present a “grab bag” from which MDL judges may pick and choose the most convenient implements. Leading lights of the complex litigation …

Are Literary Agents (Really) Fiduciaries?, Jacqueline Lipton

Articles

2018 was a big year for “bad agents” in the publishing world. In July, children’s literature agent Danielle Smith was exposed for lying to her clients about submissions and publication offers. In December, major literary agency Donadio & Olson, which represented a number of bestselling authors, including Chuck Palahnuik (Fight Club), filed for bankruptcy in the wake of an accounting scandal involving their bookkeeper, Darin Webb. Webb had embezzled over $3 million of client funds. Around the same time, Australian literary agent Selwa Anthony lost a battle in the New South Wales Supreme Court involving royalties she owed to her …

Should Automakers Be Responsible For Accidents?, Kyle D. Logue

Articles

Motor vehicles are among the most dangerous products sold anywhere. Automobiles pose a larger risk of accidental death than any other product, except perhaps opioids. Annual autocrash deaths in the United States have not been below 30,000 since the 1940s, reaching a recent peak of roughly 40,000 in 2016. And the social cost of auto crashes goes beyond deaths. Auto-accident victims who survive often incur extraordinary medical expenses. Those crash victims whose injuries render them unable to work experience lost income. Auto accidents also cause nontrivial amounts of property damage—mostly to the automobiles themselves, but also to highways, bridges, or …

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 …