Name
Data and model challenges in mental health risk predictions
Description
This session examines the unique challenges of using AI to predict mental health risks. Topics include data quality, privacy, bias, and model interpretability, as well as strategies to ensure predictions are accurate, ethical, and actionable—supporting safer and more effective mental health interventions.
Speakers
Date & Time
Tuesday, November 11, 2025, 11:15 AM - 11:30 AM
Session Type
Lecture
Location Name
Seaport G