About this course

Learning Objectives

• Identify at least three ways AI is currently being utilized in mental health care
• Describe two reasons why mental health providers should develop a foundational understanding of AI and its applications in clinical practice
• Identify two key differences between clinical AI tools and consumer AI tools related to functionality, privacy and confidentiality, ethical considerations, or intended use

Learning Levels

• Intermediate

Target Audience

Course Instructor(s)

• 

  Rochelle Perper, PhD

  Clinical Psychologist

  Rochelle Perper, Ph.D. is the Founder and Principal Psychologist of Therapy Changes, a multispecialty group psychology practice in San Diego, California. She is an active member of the San Diego Psychological Association (SDPA) and currently serves as Chair of the SDPA Ethics Committee. Dr. Perper is committed to assisting the professional growth of mental health professionals by providing professional training courses on the standards of ethical practice in psychology since 2011.

  Dr. Perper specializes in traumatic grief and in working with victims of crime. She is widely recognized for her compassion and skill in helping clients heal from trauma and develop coping strategies to navigate grief and loss. In addition to her clinical and leadership roles, Dr. Perper serves as an Expert Reviewer for the California Board of Psychology and provides consultation, as well as expert review and testimony in forensic cases since 2018.

Disclosure

References

• American Psychological Association. (2025, July). Ethical guidance for AI in the professional practice of health service psychology. https://www.apa.org/topics/artificial-intelligence-machine-learning/ethical-guidance-professional-practice.pdf
• American Psychological Association. (2025, July). Ethical guidance for AI in the professional practice of health service psychology. https://www.apa.org/topics/artificial-intelligence-machine-learning/ethical-guidance-professional-practice.pdf
• Bouguettaya, A., Stuart, E. M., & Aboujaoude, E. (2025). Racial bias in AI-mediated psychiatric diagnosis and treatment: a qualitative comparison of four large language models. NPJ Digital Medicine, 8(1), 332.
• Cooper, D., et. al. (2025, April). The Ethical Implications of Artificial Intelligence for Health Service Psychologists [Webinar]. American Psychological Association. https://www.apa.org/education-career/training/opportunity-challenge-ethical-implications-ai
• Danieli, M., Ciulli, T., Mousavi, S. M., Silvestri, G., Barbato, S., Di Natale, L., & Riccardi, G. (2022). Assessing the impact of conversational artificial intelligence in the treatment of stress and anxiety in aging adults: randomized controlled trial. JMIR mental health, 9(9), e38067.
• Fiske, A., Henningsen, P., & Buyx, A. (2019). Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy. Journal of medical Internet research, 21(5), e13216. https://doi.org/10.2196/13216
• Jones, A., & Fortunato, L. (2023, July 28). Research roundup: Evidence for digital therapeutics. American Psychological Association. https://www.apaservices.org/practice/ce/expert/digital-therapeutics.
• Rollwage, M., Habicht, J., Juechems, K., Carrington, B., Viswanathan, S., Stylianou, M., ... & Harper, R. (2023). Using conversational AI to facilitate mental health assessments and improve clinical efficiency within psychotherapy services: real-world observational study. Jmir Ai, 2(1), e44358.
• Sadeh-Sharvit, S. (2024, March 27). Bringing the Power of Artificial Intelligence to your Clinical Practice: A Hands-on Guide [Webinar]. American Psychological Association. https://www.apa.org/education-career/ce/artificial-intelligence-clinical-practice