This resource is part of a Special Section of On Board with Professional Psychology that focuses on the intersection of professional psychology and Artificial Intelligence (AI). Learn more about ABPP’s Artificial Intelligence Task Force.
Artificial intelligence (AI) is rapidly transforming psychological practice and research. For ABPP specialists and practicing psychologists, understanding and integrating AI presents both opportunities and challenges that span clinical applications, assessment, and research methodologies. From AI-powered chatbots in mental health care to advanced behavioral analysis, the technology’s impact on psychology continues to expand.
This curated collection of resources aims to help psychologists navigate these developments, with particular focus on practical applications, ethical considerations, and the future of AI in psychological practice. These materials will help practitioners stay informed while ensuring responsible and effective integration into their professional work. Exploring these resources can provide valuable insights into AI and offer considerations for integrating it into your professional activities.
APA Member Services. (2024, December 30). Artificial intelligence: Redefining the future of psychology. American Psychological Association. https://www.apa.org/members/content/secure/artificial-intelligence
Luxton, D. D. (2014). Artificial intelligence in psychological practice: Current and future applications and implications. Professional Psychology: Research and Practice, 45(5), 332–339. https://doi.org/10.1037/a0034559
Mollick, E. (2024). Co-intelligence: living and working with AI. New York, New York: Portfolio/Penguin.
Oswald, F. L., Behrend, T. S., Putka, D. J., & Sinar, E. (2020). Big data in industrial-organizational psychology and human resource management: Forward progress for organizational research and practice. Annual Review of Organizational Psychology and Organizational Behavior, 7(1), 505–533. https://doi.org/10.1146/annurev-orgpsych-032117-104553
Ramon, Y., Farrokhnia, R. A., Matz, S. C., & Martens, D. (2021). Explainable AI for psychological profiling from behavioral data: An application to Big Five personality predictions from financial transaction records. Information, 12(12), Article 518. https://doi.org/10.3390/info12120518
Sweeney, C., Potts, C., Ennis, E., Bond, R., Mulvenna, M. D., O’Neill, S., Malcolm, M., Kuosmanen, L., Kostenius, C., Vakaloudis, A., McConvey, G., Turkington, R., Hanna, D., Nieminen, H., Vartiainen, A.-K., Robertson, A., & McTear, M. F. (2021). Can chatbots help support a person’s mental health? Perceptions and views from mental healthcare professionals and experts. ACM Transactions on Computing for Healthcare, 2(3), Article 25. https://doi.org/10.1145/3453175
Tulk Jesso, S., Kelliher, A., Sanghavi, H., Martin, T., & Henrickson Parker, S. (2022). Inclusion of clinicians in the development and evaluation of clinical artificial intelligence tools: A systematic literature review. Frontiers in Psychology, 13, Article 830345. https://doi.org/10.3389/fpsyg.2022.830345
Zhao, J., Wu, M., Zhou, L., Wang, X., & Jia, J. (2022). Cognitive psychology-based artificial intelligence review. Frontiers in Neuroscience, 16, Article 1024316. https://doi.org/10.3389/fnins.2022.1024316
Ernest Wayde, PhD, MIS
Correspondence: info@waydeconsulting.com
Jeni McCutcheon, PsyD, MSCP, ABPP
Board Certified in Police and Public Safety Psychology & Clinical Psychology
Chair of the ABPP Artificial Intelligence Task Force (AITF)
Correspondence: jenimccutcheon@aol.com
Leonardo Caraballo, PsyD, ABPP
Board Certified in Clinical Psychology
ABPP Board of Trustees Secretary | Chair of ABPP Marketing/Outreach Committee
Correspondence: caraballoleo16@gmail.com