AI for Mental Health Prediction in Social Media - Promises, Perils, and Visions of the Future
We urgently need better AI to handle the volume and risk of this content in social networks. However, it is important to create AI and interventions in this space that are ethical and helpful, or we risk harming the very people we intend to help.
Assistant Professor Stevie Chancellor will discuss the promises and perils for AI that predicts and intervenes in mental health in social media, and what we can do to make it more technically rigorous, ethical, and compassionate towards people in distress. She will discuss recent work in her research group on TikTok and mental health, and visions for the future of AI to assist in socially hard problems.
About Professor Chancellor:
Dr. Stevie Chancellor is an Assistant Professor in the Department of Computer Science & Engineering at the University of Minnesota. Her award-winning research focuses on interdisciplinary work between AI, human-computer interaction, and mental health. She and her lab build better and more ethical AI for high-risk mental health behaviors in online communities. Her work and opinions have been covered by international outlets, such as the United Nations International Telecommunication Union, The New York Times, The Washington Post, Ars Technica, The Verge, and The Atlantic, and local outlets such as MPR, the Star Tribune, KARE 11, and CBS News Minnesota.