Regulating Artificial Intelligence in Mental Health: A Content Analysis of Global Professional Ethical and Policy Guidelines.
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| Title: | Regulating Artificial Intelligence in Mental Health: A Content Analysis of Global Professional Ethical and Policy Guidelines. |
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| Authors: | Xiong, Yiying, Zhai, Yusen, Fulmer, Russel |
| Source: | Journal of Counseling & Development (John Wiley & Sons, Inc.). Jul2026, Vol. 104 Issue 3, p339-357. 19p. |
| Subjects: | Medical protocols, Supervision of employees, Professionalism, Policy sciences, Professional ethics, Mental health, Professional practice, Patient safety, Social justice, Qualitative research, Mental illness, Artificial intelligence, Health policy, Content analysis, International agencies, Policy analysis, Thematic analysis, Social integration, Associations, institutions, etc., Patient-professional relations, Clinical competence, Medical coding, Rules |
| Geographic Terms: | United States |
| Abstract: | This study conducted a content analysis of policies, ethical codes, and regulatory guidelines from 13 national and international mental health organizations to examine how they conceptualize ethical artificial intelligence (AI) in mental health practice. Five overarching themes were identified—ethical practice and client welfare, competence and supervision, justice and inclusion, professional integrity, and governmental and institutional oversight. Together, these themes reveal the field's emerging priorities, areas of conceptual omission, and the varying mechanisms organizations use to uphold ethical and safety standards in AI deployment. Implications for clinical practice, professional education, and policy development are discussed. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Counseling & Development (John Wiley & Sons, Inc.) is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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