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Responsible Design, Integration, and Use of Generative AI in Mental Health
Oren Asman1,2, John Torous3, Amir Tal2,4
1Department of Nursing, Faculty of Medical and Health Sciences, Tel Aviv University, P.O.B 39040, Ramat Aviv, Tel Aviv, 6997801, Israel, 972 547608020.
JMIR Mental Health
|January 26, 2025
Summary
Generative artificial intelligence (GenAI) offers new mental health tools but needs ethical guidelines for responsible implementation. Ensuring AI complements human empathy is crucial for safe, effective, AI-assisted care.
Area of Science:
- Mental Health Technology
- Artificial Intelligence Ethics
- Clinical Psychology
Background:
- Generative artificial intelligence (GenAI) presents opportunities for personalized mental health care, psychoeducation, and crisis prediction.
- This theme issue is the first to focus on the responsible application of GenAI in mental health.
- GenAI capabilities include emotion recognition, therapy summarization, and risk assessment, but require careful handling of sensitive data.
Discussion:
- Ethical considerations such as bias, value alignment, transparency, and empathy are paramount for AI in mental health.
- The need for rigorous validation of GenAI tools is highlighted.
- Frameworks and best practices are proposed to ensure ethically grounded AI-assisted care.
Key Insights:
- GenAI can augment, not replace, human empathy in clinical settings.
- Addressing bias and ensuring transparency are critical for trustworthy AI.
- The integration of AI requires a focus on preserving humanistic elements in care.
Outlook:
- Developing regulatory approaches and conceptual frameworks for responsible GenAI use is essential.
- Ongoing collaboration among researchers, clinicians, policymakers, and technologists is vital.
- Future work should focus on validating GenAI tools and establishing ethical governance for AI in mental health.
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