Can You Sue An Algorithm For Malpractice? image

Forbes AI, February 11, 2019
by Forbes AI, interviewing W. Nicholson Price (Academic Fellow Alumnus)


Read the Full Article

From the article:

"What’s in the box? The “black box,” that is. Increasingly, doctors are relying on sophisticated, and at times inscrutable, algorithms to make healthcare recommendations—a practice dubbed “black box medicine.” But even the most advanced artificial intelligence (AI) can get it wrong. Machine-learning algorithms are designed by humans, after all, and trained on data sets that have been collected and selected by humans, who are capable of bias and mistakes. In healthcare, those mistakes can be costly—and even fatal.

To unpack these rapidly evolving issues, we sat down with W. Nicholson Price, assistant professor at University of Michigan Law School and faculty affiliate at Harvard Law School’s Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics. Price’s writing on health policy and law has appeared in Science, Nature Medicine, Slate,and numerous law journals."

Read more here!

bioethics biotechnology health law policy regulation research