Generative AI in psychiatric education: balancing risks and benefits for responsible integration

Area of Science:

• Psychiatry
• Medical Education
• Artificial Intelligence

Background:

• Generative artificial intelligence (GenAI) chatbots are transforming psychiatric education.
• Tools like ChatGPT and DeepSeek offer personalized learning and simulation but present risks.
• Current integration lacks a clear framework for managing these new technologies.

Purpose of the Study:

• To propose a balanced framework for integrating GenAI in psychiatric education.
• To address the risks and benefits of GenAI in training psychiatrists.
• To provide actionable recommendations for institutions.

Main Methods:

• Perspective piece drawing on emerging evidence and educator experience.
• Analysis of GenAI risks and benefits specific to psychiatric training.
• Development of a framework based on human oversight, AI literacy, and governance.

Main Results:

• Identified five categories of risk associated with GenAI in education.
• Outlined specific benefits of GenAI for psychiatric learners.
• Proposed six actionable institutional recommendations for responsible adoption.

Conclusions:

• Neither uncritical adoption nor rejection of GenAI is appropriate.
• A balanced framework emphasizing human oversight, AI literacy, and governance is essential.
• GenAI should augment, not replace, clinical judgment and empathy in psychiatric practice.