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Everyday Sensing and AI for Mental Health Care: Navigating a Tipping Point
June 16 - June 20
Cornell University – Ithaca, NY
This Thought Summit brings together leading experts and thought leaders from academia, industry, and the entrepreneurial world to envision and help create the future of everyday AI and mental health. With wide-ranging expertise in clinical machine learning, human-centered AI for mental health, law and policy, as well as business and economics, the Summit participants will discuss how these disciplines can collaborate to realize the transformative potential of everyday AI systems in mental health care.
The Charge
From detecting and mitigating people’s suicidal thoughts from social media posts to tracking and alleviating depression using AppleWatch, consumer-grade AI software holds exciting promises in addressing the national mental health crisis that plagues the U.S. Everyday AI systems promise not only more timely, but also smoother transitions from self-directed wellness practices to professional psychiatric treatments.
However, for decades, distinct laws regulated commercial and clinical software, as well as the data they collected. Different economic models dictate who can access consumer- and clinical-grade sensing devices. Therefore, until recently, when patients transition from self-directed to professional mental healthcare, physicians must gather their behavioral health data and formulate treatment plans anew. Meanwhile, everyday sensing devices and AI promise stepped interventions (e.g., from sleep-and-exercise suggestions to cognitive behavioral therapy and formal psychiatric care), a care pathway better suited to the progressive nature of most mental illnesses.
Organizers
Angel Hwang
Senior Personnel
Postdoc, Information Science, College of Computing and Information Science
Participants
Andrew Campbell
Studies AI and behavioral sensing for student mental health assessment & support at Dartmouth College
Munmun De Choudhury
Keynote Speaker
Studies adult & pediatric digital mental health, computational social science, human-computer interaction at Georgia Institute of Technology
Ned Cooper
Former human rights lawyer. Studies AI policy and participatory design at Australian National University
Guodong Liu
Studies psychometric assessments via an AI-powered conversational journal at Penn State College of Medicine
Sean Munson
Designs psychosocial interventions for primary care, schools, communities at University of Washington
