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Distributed Governance Of Medical Ai, W. Nicholson Price Ii
Distributed Governance Of Medical Ai, W. Nicholson Price Ii
Law & Economics Working Papers
Artificial intelligence (AI) promises to bring substantial benefits to medicine. In addition to pushing the frontiers of what is humanly possible, like predicting kidney failure or sepsis before any human can notice, it can democratize expertise beyond the circle of highly specialized practitioners, like letting generalists diagnose diabetic degeneration of the retina. But AI doesn’t always work, and it doesn’t always work for everyone, and it doesn’t always work in every context. AI is likely to behave differently in well-resourced hospitals where it is developed than in poorly resourced frontline health environments where it might well make the biggest difference …
Liability For Use Of Artificial Intelligence In Medicine, W. Nicholson Price, Sara Gerke, I. Glenn Cohen
Liability For Use Of Artificial Intelligence In Medicine, W. Nicholson Price, Sara Gerke, I. Glenn Cohen
Law & Economics Working Papers
While artificial intelligence has substantial potential to improve medical practice, errors will certainly occur, sometimes resulting in injury. Who will be liable? Questions of liability for AI-related injury raise not only immediate concerns for potentially liable parties, but also broader systemic questions about how AI will be developed and adopted. The landscape of liability is complex, involving health-care providers and institutions and the developers of AI systems. In this chapter, we consider these three principal loci of liability: individual health-care providers, focused on physicians; institutions, focused on hospitals; and developers.
The Case For Banning (And Mandating) Ransomware Insurance, Kyle D. Logue, Adam B. Shniderman
The Case For Banning (And Mandating) Ransomware Insurance, Kyle D. Logue, Adam B. Shniderman
Law & Economics Working Papers
Ransomware attacks are becoming increasingly pervasive and disruptive. Not only are they shutting down (or at least “holding up”) businesses and local governments all around the country, they are disrupting institutions in many sectors of the U.S. economy — from school systems, to medical facilities, to critical elements of the U.S. energy infrastructure as well as the food supply chain. Ransomware attacks are also growing more frequent and the ransom demands more exorbitant. Those ransom payments are increasingly being covered by insurance. That insurance offers coverage for a variety of cyber-related losses, including many of the costs arising out of …
Problematic Interactions Between Ai And Health Privacy, W. Nicholson Price Ii
Problematic Interactions Between Ai And Health Privacy, W. Nicholson Price Ii
Law & Economics Working Papers
The interaction of artificial intelligence (“AI”) and health privacy is a two-way street. Both directions are problematic. This Article makes two main points. First, the advent of artificial intelligence weakens the legal protections for health privacy by rendering deidentification less reliable and by inferring health information from unprotected data sources. Second, the legal rules that protect health privacy nonetheless detrimentally impact the development of AI used in the health system by introducing multiple sources of bias: collection and sharing of data by a small set of entities, the process of data collection while following privacy rules, and the use of …