Ethical and Legal Considerations for Precision Health Research Incorporating ML and AI

This is a frank discussion about the law and ethics of health research that relies on artificial intelligence and machine learning, and the impact it can have on the treatment and perpetuation of health disparities. We discuss legal and ethical issues related to biased algorithms, liability, regulation, data ownership, and responsible use of health data. Speakers are computational social scientist Abigail Jacobs, an Assistant Professor of Complex Systems and Information, and legal scholar Nicholson Price, a Professor of Law. This webinar provides important information to help clinicians and data scientists work to improve care and reduce health disparities. Vicki Ellingrod, PharmD, an Associate Research Dean and Professor of Pharmacy, moderates.

This webinar is the fourth in the Precision Health educational series "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care."