Regulating Artificial Intelligence in Mental Health: A Content Analysis of Global Professional Ethical and Policy Guidelines

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.

Authors

Institutions

Publication Details

Journal
Journal of Counseling & Development
Published
2026-05-29
DOI
https://doi.org/10.1002/jcad.70044
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Regulating Artificial Intelligence in Mental Health: A Content Analysis of Global Professional Ethical and Policy Guidelines

Yiying Xiong, Yusen Zhai, Russel Fulmer
Journal of Counseling & Development
Artificial Intelligence in Healthcare and Education
article

Regulating Artificial Intelligence in Mental Health: A Content Analysis of Global Professional Ethical and Policy Guidelines

Yiying Xiong, Yusen Zhai, Russel Fulmer
article en

Abstract

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.

Journal of Counseling & Development
Florida Department of Education (US), Johns Hopkins University (US), Kansas State University (US), Johns Hopkins Medicine (US), University of Florida (US)
Reduced inequalities
Openalex Percentile: Top 8%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.