Live Webinar
AI in Mental Health: Essential Skills
Gazing into the Machine: AI, Psychotherapy, and the Changing Clinical Landscape
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Gazing into the Machine: AI, Psychotherapy, and the Changing Clinical Landscape
1.0 CE Hours
Introductory
$25 - $105
Pricing
References
References
- Acevedo, S., Aneja, E., Opler, D. J., Valera, P., & Jarmon, E. (2026). Evaluating the Efficacy of ChatGPT-3.5 Versus Human-Delivered Text-Based Cognitive-Behavioral Therapy: A Comparative Pilot Study. American journal of psychotherapy, 79(1), 4–11. https://doi.org/10.1176/appi.psychotherapy.20240070
- Moore, J., Grabb, D., Agnew, W., Klyman, K., Chancellor, S., Ong, D. C., & Haber, N. (2025). Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers. In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT '25). Association for Computing Machinery, New York, NY, USA, 599–627. https://doi.org/10.1145/3715275.3732039
- Rousmaniere, T., Goldberg, S. B., & Torous, J. (2026). Large language models as mental health providers. The lancet. Psychiatry, 13(1), 7–9. https://doi.org/10.1016/S2215-0366(25)00269-X
- Hayles, N. K. (2025). Bacteria to AI: Human futures with our nonhuman symbionts. University of Chicago Press.
- Wampold, B. E. (2015). How important are the common factors in psychotherapy? An update. World Psychiatry, 14(3), 270–277. https://doi.org/10.1002/wps.20238