Large language models are rapidly transforming the landscape of digital mental health, yet their clinical readiness remains uncertain. This talk reviews the evolution of mental health chatbots, the emerging evidence for LLMs and the growing regulatory attention to risks and misuse. The talk offers an outline of practical strategies for clinicians, including digital literacy, benchmarking, and governance frameworks, to safely navigate the promise and pitfalls of AI.
Target Audience
This activity is intended for physicians, nurses, psychologists, social workers, counselors, and other mental health professionals.
Learning Objectives
At the conclusion of this activity, attendees will be able to:
- Identify the capabilities and limitations of current AI mental health tools.
- Evaluate the clinical, ethical, and regulatory risks of integrating AI into mental health care.
- Apply evidence-based frameworks to assess AI tools for clinical use.