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The Integration of Artificial Intelligence in Psychological Practice: Emerging Roles, Competencies, and Challenges for Psychologists

Michael Mbiriri

Abstract

The rapid proliferation of artificial intelligence (AI) technologies—including machine learning algorithms, natural language processing tools, and AI-powered chatbots—has begun to reshape the landscape of psychological practice, raising both opportunities and concerns for the profession. This paper presents a secondary, desk-based review synthesizing existing literature on the integration of AI into psychological assessment, diagnosis, intervention, and administrative practice. Drawing on peer-reviewed journal articles, professional guidelines, and policy documents published between 2018 and 2025, the review examines three central themes: the emerging roles AI tools play in augmenting psychologists’ clinical and research functions; the competencies psychologists require to ethically and effectively engage with AI-driven technologies; and the conceptual, ethical, and practical challenges associated with their adoption, including concerns regarding data privacy, algorithmic bias, the therapeutic alliance, and professional accountability. Findings suggest that while AI holds considerable promise for enhancing diagnostic accuracy, expanding access to mental health services, and reducing clinician workload, its integration is hindered by gaps in psychologists’ digital literacy, inconsistent regulatory frameworks, and unresolved questions about the preservation of human- centered care. The review concludes by identifying priority areas for training curricula, ethical guideline development, and future empirical research. This synthesis contributes to ongoing professional discourse by consolidating fragmented evidence into a coherent framework for understanding AI’s evolving role in psychological practice.

Keywords

artificial intelligencepsychological practiceclinical competenciesprofessional ethicsdigital mental healthdesk review

References

Abd-Alrazaq, A. A., Alajlani, M., Alalwan, A. A., Bewick, B. M., Gardner, P., & Househ, M. (2019). An overview of the features of chatbots in mental health: A scoping review. International Journal of Medical Informatics, 132, Article 103978. https://doi.org/10.1016/j.ijmedinf.2019.103978 American Psychological Association. (2020). APA guidelines for psychological practice with technology. https://www.apa.org/practice/guidelines/technology Blease, C., Locher, C., Leon-Carlyle, M., & Doraiswamy, P. M. (2020). Artificial intelligence and the future of psychiatry: Qualitative findings from a global physician survey. Digital Health, 6. https://doi.org/10.1177/2055207620968355 Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806 Bzdok, D., & Meyer-Lindenberg, A. (2018). Machine learning for precision psychiatry: Opportunities and challenges. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(3), 223–230. https://doi.org/10.1016/j.bpsc.2017.11.007 D’Alfonso, S. (2020). AI in mental health. Current Opinion in Psychology, 36, 112–117. https://doi.org/10.1016/j.copsyc.2020.04.005 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), Article e13216. https://doi.org/10.2196/13216 Graham, S., Depp, C., Lee, E. E., Nebeker, C., Tu, X., Kim, H.-C., & Jeste, D. V. (2019). Artificial intelligence for mental health and mental illnesses: An overview. Current Psychiatry Reports, 21(11), Article 116. https://doi.org/10.1007/s11920-019-1094-0 Inkster, B., Sarda, S., & Subramanian, V. (2018). An empathy-driven, conversational artificial intelligence agent for digital mental well-being: Real-world data evaluation mixed- methods study. JMIR mHealth and uHealth, 6(11), Article e12106. https://doi.org/10.2196/12106 Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., . . . Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71 Sedlakova, J., & Trachsel, M. (2023). Conversational artificial intelligence in psychotherapy: A new therapeutic tool or agent? American Journal of Bioethics, 23(5), 4–13. https://doi.org/10.1080/15265161.2022.2048739 Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039 Thieme, A., Belgrave, D., & Doherty, G. (2020). Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems. ACM Transactions on Computer-Human Interaction, 27(5), Article 34. https://doi.org/10.1145/3398069 P-ISSN 2695 2016 Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44–56. https://doi.org/10.1038/s41591-018-0300-7 Vaidyam, A. N., Wisniewski, H., Halamka, J. D., Kashavan, M. S., & Torous, J. B. (2019). Chatbots and conversational agents in mental health: A review of the psychiatric landscape. Canadian Journal of Psychiatry, 64(7), 456–464. https://doi.org/10.1177/0706743719828977

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