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September 5, 2025Lecture Notes in Education Psychology and Public MediaOpen Access

The Ethical Challenges of AI-based Mental Health Interventions: Toward a Layered Accountability Framework

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XLXun Lei

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Overview

Analysis highlights key ethical issues in AI mental health interventions, suggesting an accountability framework.

Key Points

  • AI integration in mental health enhances accessibility while raising ethical concerns regarding data privacy and algorithmic bias.
  • The study identifies seven ethical issues including transparency and responsibility attribution, impacting user experiences with AI.
  • An accountability framework is proposed, addressing responsibilities across developers, platform operators, and users for AI applications.
  • Promoting clear accountability and transparent design is essential to safeguard psychological safety in AI mental health services.

Cite This Study

Xun Lei (2025) studied this question.

synapsesocial.com/papers/68c23887b210217d64777cc7https://doi.org/10.54254/2753-7048/2025.ht26261
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