Artificial Intelligence, Personalized Technology, and Mental Health
Tue, 11/26/2019 - 8:42am
When: September 27, 2019 at Downtown Library: Multi-Purpose Room
AI and personalized technologies are transforming everyday life. They facilitate individualized information delivery, offer personalized monitoring strategies, and opportunities for specific therapy. They enable innovative tools and health-focused applications that empower individuals, their friends and families, to track and learn their emotional patterns in order to strengthen support systems. Join us for an evening of AI to engage with University of Michigan experts as they discuss the implications of using AI for mental health care:
- How will AI and personalized technologies fit into the mental health care system?
- Who benefits? How?
- How do we measure outcomes?
- Are we heading towards an AI-based mental health care system?
- What are the benefits of using AI for mental health?
- How efficient are virtual therapists?
Michigan AI’s Prof. Emily Mower Provost and Prof. Melvin Mcinnis, Director of the Heinz C. Prechter Bipolar Research Program, address these and other open questions in this public AI event.
Emily Mower Provost is an Associate Professor in the Computer Science and Engineering (CSE) Department, director of the Computational Human Artificial Intelligence (CHAI) Lab, and member of the Heinz C. Prechter Bipolar Research Program, where she leads the development of computational methods for measuring mood symptom severity in bipolar disorder.
Melvin Mcinnis, the Thomas B. and Nancy Upjohn Woodworth Professor of Bipolar Disorder and Depression, is the Director of the Heinz C. Prechter Bipolar Research Program, leading a team of over 30 faculty and staff with several projects focused on bipolar disorder. He is the Associate Director for Research at the University of Michigan Depression Center.
This event was a partnership with the Artificial Intelligence (AI) program at the University of Michigan.
September 27, 2019 at Downtown Library: Multi-Purpose Room
Copyright: Creative Commons (Attribution, Non-Commercial, Share-alike)
Rights Held by: Ann Arbor District Library