As artificial intelligence becomes increasingly embedded in mental healthcare—from diagnostics to treatment planning—questions about safety, bias, and accountability continue to grow. This webinar introduces an innovative solution: an AI “nutrition facts” label, designed to bring clarity and transparency to the use of AI-enabled technologies in clinical practice.
Join us as we explore the development of this labeling framework designed to help psychiatrists better understand the risks, limitations, data sources, and privacy implications of AI tools. This session will discuss key considerations, challenges, and pathways toward implementation of AI.
Speakers
- Khatiya Moon, M.D.
- Gerard Patrick Craigen, M.D., J.D.
- Matthew Tamura
Learning Objectives
- Define artificial intelligence (AI) and its current and projected use cases in mental health.
- Summarize the benefits and challenges of AI integration in mental health and broader digital health applications.
- Outline a multidisciplinary approach for developing an AI nutritional facts label.
- Highlight the legal, ethical, and security considerations for implementing an AI safety label across different product categories.