This 3-part series explores how emerging Artificial Intelligence (AI) technologies, from rule-based chatbots to advanced large language models and multimodal systems, are reshaping the landscape of mental health care. It reviews the opportunities and limitations of AI tools as they move toward community and clinical settings. We will examine key issues, including safety, accuracy, hallucinations, regulatory considerations, and real-world performance, using current research findings and case examples. The session provides a practical framework for clinic and program leaders and administrators to appraise AI systems critically, understand their underlying mechanisms, and consider the risks/benefits of integrating them into care.
By the end of the series, attendees will be able to:
- Understand the foundational elements of an AI strategy for community mental health centers.
- Apply ethical principles to AI adoption in behavioral health.
- Prioritize AI initiatives within resource-constrained environments.
Learning Session or Consultation Content
Target audience(s):
- Systems Leaders and Administrators
- People Responsible for Leading Implementation Efforts
- Organizations Providing Training and Technical Assistance
- Individual Clinicians and Staff
Duration: 3 hour(s)
Experience:
- Beginner
- Intermediate