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Responsible artificial intelligence integration framework for psychiatric guidelines.

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Summary
This summary is machine-generated.

This study introduces a global framework for responsible artificial intelligence (AI) integration in psychiatry. It outlines four key capabilities—Explainable AI, Shared Decision Making, EHR integration, and Harm Prevention—to guide safe and ethical AI adoption in mental healthcare.

Keywords:
AIethicsguidelineintegrationpsychiatry

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Area of Science:

  • Psychiatry
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is transforming healthcare, with significant potential for psychiatric applications.
  • Current integration of AI in psychiatry is fragmented, lacking cohesive ethical and technical frameworks.
  • Existing guidelines often address isolated AI aspects, failing to connect them to clinical practice.

Purpose of the Study:

  • To introduce a global framework for the responsible integration of AI in psychiatric care.
  • To provide a structured approach for aligning AI development with psychiatric ethics and clinical realities.
  • To guide clinicians, policymakers, and developers in the safe and effective use of AI in mental health.

Main Methods:

  • Development of a global framework for responsible AI integration in psychiatry.
  • Identification of four core system capabilities: Explainable AI (XAI), Shared Decision Making (SDM), Electronic Health Record (EHR) integration, and Harm Prevention (HP).
  • Emphasis on a responsibility-by-design approach linking technological advancement with ethical foundations.

Main Results:

  • The proposed framework integrates XAI for transparency, SDM for patient autonomy, EHR integration for continuity, and HP for safety.
  • This framework establishes a responsibility-by-design model for AI in psychiatry.
  • It translates ethical commitments into auditable system capabilities.

Conclusions:

  • The framework offers a roadmap for aligning AI innovation with human values and clinical outcomes in psychiatry.
  • It provides a concrete foundation for regulatory oversight and responsible AI deployment.
  • Responsible AI integration requires a holistic approach addressing ethical, technical, and clinical dimensions.