"Will Artificial Intelligence Improve Mental Health Services for Under-Served Po

Description

A lecture by Bioethicist, Dr. Gus Skorburg.  Dr. Skorburg writes about the talk: Advances in Artificial Intelligence (AI) are proving to be especially beneficial in mental health contexts. These technologies are often able to predict outcomes such as suicide, depression, or dementia further in advance and more accurately than human clinicians. Moreover, AI-enabled technologies are celebrated for their potential to improve the delivery of clinical services to under-served populations, such as rural communities. In this talk, I identify a range of ethical issues that arise when using AI to predict mental health outcomes. I conclude by suggesting that, despite its initial promise, AI may actually exacerbate existing healthcare disparities.

Dr. Skorburg completed his PhD in Philosophy at the University of Oregon. His research is in applied ethics (bioethics, neuroethics, data ethics), moral psychology (virtue theory and feminist ethics), and the philosophy of cognitive science. In addition to the Master in Interdisciplinary Data Science (MIDS) program, he is affiliated with the Department of Philosophy and the Kenan Institute for Ethics at Duke. He is currently working on a number of theoretical and empirical projects about the nature of self and identity.