Harvard Law to Explore Legal Complexities of Precision Medicine, AI image

Healthcare Analytics News, February 1, 2018
Ryan Black, featuring the Project on Precision Medicine, Artificial Intelligence, and the Law (PMAIL)


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From the article:

Precision medicine and artificial intelligence (AI) are complicated by design: Both scientific fields rely on extreme specificity, complex equations, and forces that can’t be seen.

As both fields begin to alter the healthcare landscape, they could plant a number of legal landmines. Can algorithms or biomarkers be patented? Will centers be able to access the large data sets they need to perform accurate AI? What control over their data should patients have? And how will practice be affected by differing legal frameworks in the US and Europe?

A new collaborative initiative between Harvard Law School and the University of Copenhagen plans to explore those issues. Recently announced by the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard and the Center for Advanced Studies in Biomedical Innovation Law (CeBIL) at Copenhagen, the effort will be called the Project on Precision Medicine, Artificial Intelligence, and the Law (PMAIL). It will be led by Harvard Law School professor I. Glenn Cohen.

PMAIL will place a heavy focus on what it calls “black box medicine”—interventions based on algorithms so complex that they are either very difficult or impossible for humans to understand. For obvious reasons, such technologies will be difficult to validate and regulate.

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