Nature Health: 31 US cases map AI's wider liability web
TL;DR
- Gennie Mansi and Mark Riedl analyzed 31 US legal cases to identify patterns in how AI tools harm patient care.
- The authors argue accountability should shift from physicians to a wider stakeholder set including insurers, care facilities and state health departments.
- They propose redesigning liability structures and building tools that help patients' lawyers pursue legal recourse for AI-related harms.
Two Georgia Tech researchers reviewed 31 US legal cases to work out where AI tools are actually hurting patients, and the answer is not just at the doctor's keyboard.
In Nature Health, Gennie Mansi and Mark Riedl of the Georgia Institute of Technology argue that the medical, legal and technology communities have narrowed in on physicians as the chokepoint for preventing AI harms. Their case review instead points at 'a complex web of stakeholders' that includes state health departments, health insurers and care facilities alongside physicians. The paper's framing is blunt: patients 'have had no option but to seek legal recourse for harms.'
The authors sketch two paths out. One is 'changing liability structures to reflect the role of many stakeholders in shaping how AI tools impact patient care.' The other is designing software that helps patient advocates, specifically their lawyers, 'provide critical legal expertise and practically support recourse for patients.'
The abstract names no individual cases, publishes no dollar figures, and does not break down which categories of AI, clinical versus administrative versus insurer-side, drive the sample.
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Originally reported by nature.com
Read the original article →Original headline: Implications of current litigation on the design of AI tools for healthcare delivery and related legal frameworks - Nature Health