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Boris Babic


Boris Babic is an Assistant Professor of Decision Sciences at INSEAD. His research is predominantly in (1) Bayesian inference/epistemology and decision making, and (2) the normative/ethical dimensions arising in the implementation of artificial intelligence and machine learning. His current work examines the role of risk in statistical inference, the regulatory architecture for medical machine learning systems, and the adoption of AI/ML technology in large organizations.  

Before joining INSEAD, Boris was a postdoctoral scholar at the California Institute of Technology. He received a PhD and MS from the University of Michigan (Ann Arbor), a JD (cum laude) from Harvard Law School, and a BA from York University.  
Previously, he was a trial lawyer at Quinn Emanuel Urquhart & Sullivan in Los Angeles, where he represented Samsung, Google, Mattel, and several large entertainment studios. He also represented multiple institutional investors in complex securities litigation arising out of the 2008 financial crisis.

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The Hidden Hazards of Smart Device Medical Advice

B. Babic, T. Evgeniou, S. Gerke, G. Cohen

Diagnostic mobile medical apps call for increased regulatory intervention, even if they do not dispense advice or treatment.