APS
2026 APS Annual Convention
On the Exciting Future and Delicate Intersection of Artificial Intelligence and Clinical Science
This symposium examines how artificial intelligence can advance clinical psychological science while addressing emerging risks. Presentations cover AI-supported risk detection, case conceptualization, and principles for aligning AI tools with evidence-based practice. Together, the talks outline opportunities, limitations, and future directions for integrating AI into clinical research and psychotherapy.
Chairs & Discussants
- Julian BurgerChair
Stony Brook University - Shirley WangDiscussant
Yale University
Presentations
- Artificial Intelligence In Clinical ScienceJulian Burger
- Examining the Content and Consistency of Suicidal Thoughts Using Large Language ModelsLeily Behbehani
- LLM-Assisted Case ConceptualizationMeike Waaijers
- Leveraging Clinical Science In the Development of AI for Mental Health: The Evidence-Based Psychotherapy with AI FrameworkElizabeth Stade