Skip to main content
ABCT 2025 59th Annual Convention Main banner
Psychology Tools Ad
Final Program


Icon Legend
This session is not in your schedule.
This session is in your schedule. Click again to remove it.
Presentation Icons
Recorded Session
Recorded Session
Ticketed Session
Ticketed Session
Evaluation ViewAttendees 14

Mini Workshop

Technology/Digital Health

Mini Workshop 2 - Artificial Intelligence, Equity & Ethics

Friday, November 21, 2025
10:15 AM - 11:45 AM CST
Location: Strand 11A&B, Level 2
Earn 1.5 Credit
Keywords: Technology/Mobile Health, Mental Health Disparities, Adult
Level of Familiarity: Basic
Recommended Readings: Lee, E. E., Torous, J., De Choudhury, M., Depp, C. A., Graham, S. A., Kim, H. C., ... & Jeste, D. V. (2021). Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6(9), 856-864.,   Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453.,   Durden, E., Pirner, M. C., Rapoport, S. J., Williams, A., Robinson, A., & Forman-Hoffman, V. L. (2023). Changes in stress, burnout, and resilience associated with an 8-week intervention with relational agent “Woebot”. Internet Interventions, 33, 100637.,   Nilsen, P., Svedberg, P., Nygren, J., Frideros, M., Johansson, J., & Schueller, S. (2022). Accelerating the impact of artificial intelligence in mental healthcare through implementation science. Implementation research and practice, 3, 26334895221112033.,   Ellis, D. M., Draheim, A. A., & Anderson, P. L. (2022). Culturally Adapted Digital Mental Health Interventions for Ethnic/Racial Minorities: A Systematic Review and Meta-Analysis. Journal of Consulting and Clinical Psychology. Journal of Consulting and Clinical Psychologyy. http://dx.doi.org/10.1037/ccp0000759
Artificial Intelligence (AI) is transforming many aspects of our lives and is increasingly being applied to mental health and well-being. AI-powered tools—such as relational agents—have shown promise in improving mood and reducing anxiety, particularly among college students. These digital interventions are also being explored as potential solutions to the chronic and growing shortage of mental health providers. Despite their increasing relevance, many CBT clinicians have understandable concerns about how these technologies align with ethical practice. Additionally, most practitioners have limited understanding of how AI works, making it difficult to critically assess its potential and limitations. This introductory workshop will demystify AI by explaining its basic principles, how it functions in clinical contexts, and key ethical and equity considerations. The presenter has been a leader in the intersection of mental health and technology for over 20 years but does not identify herself as a ‘technology person’. She is a ‘Clinicians Leading Ingenuity in AI Quality’ Fellow of the NIH-funded AIM-AHEAD consortium.

Outline:
• Foundations of Artificial Intelligence
• Evidence Base for AI in Mental Health
• Ethical Considerations
• AI and Mental Health Equity
• Practical Sills

Learning Objectives:

At the end of this session, the learner will be able to:
  1. Explain (in a very basic way) how artificial intelligence works
  2. Describe the empirical evidence for AI chatbots
  3. Identify one ethical issue relating to the use of artificial intelligence
  4. Name one way AI could improve and/or worsen mental health equity