Responsible AI in mental healthcare: policy directions and stakeholder insights

As artificial intelligence (AI) becomes increasingly integrated into mental healthcare, it presents both opportunities to expand access and challenges related to ethics, safety, and regulation. This white paper examines the current U.S. regulatory landscape and presents findings from a scenario-based survey conducted during the 2025 Responsible AI for Mental Health workshop in Charlotte, North Carolina in April 2025. While state efforts are driving more structured oversight, including transparency and clinician accountability, stakeholders remain concerned about risks related to privacy, bias, and inappropriate use. Recommendations emphasize the need for robust human oversight, informed consent, and inclusive design. The paper concludes that responsible AI deployment in mental health requires coordinated policy action, ongoing evaluation, and a strong ethical foundation.

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Publication Details

Journal
Frontiers in Public Health
Published
2026-05-01
DOI
https://doi.org/10.3389/fpubh.2026.1814039
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Responsible AI in mental healthcare: policy directions and stakeholder insights

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Frontiers in Public Health
Artificial Intelligence in Healthcare and Education
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Responsible AI in mental healthcare: policy directions and stakeholder insights

Arezoo Movaghar, Aynsley Bernard, Rafael Mestre, Àgata Lapedriza, Alisa K. Lincoln, Stuart E. Middleton, Janelle Lardizabal, Matt Lewis, Kelvin J. Fenelon, Suzanne Gaverich, Annika M. Schoene
article en

Abstract

As artificial intelligence (AI) becomes increasingly integrated into mental healthcare, it presents both opportunities to expand access and challenges related to ethics, safety, and regulation. This white paper examines the current U.S. regulatory landscape and presents findings from a scenario-based survey conducted during the 2025 Responsible AI for Mental Health workshop in Charlotte, North Carolina in April 2025. While state efforts are driving more structured oversight, including transparency and clinician accountability, stakeholders remain concerned about risks related to privacy, bias, and inappropriate use. Recommendations emphasize the need for robust human oversight, informed consent, and inclusive design. The paper concludes that responsible AI deployment in mental health requires coordinated policy action, ongoing evaluation, and a strong ethical foundation.

Frontiers in Public HealthVol. 14
Northeastern University (US), Florida International University (US), Employee Benefit Research Institute (US), Burke County Public Schools (US), Burke Foundation (US), Unidad de Investigación en Salud Digital (ES), Artificial Intelligence in Medicine (Canada) (CA), University of Southampton (GB), Wake Forest University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
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