Augmented Intelligence in Psychiatric Education-View Presentation

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Darlene Ng, an assistant professor and behavioral health clinical informaticist, spoke about the integration of augmented intelligence in psychiatric education, focusing on the potential and challenges posed by generative AI tools like ChatGPT. She noted the increasing use of AI in generating written materials and the ethical considerations for students and educators. AI is now multi-modal, allowing users to interact via text and voice, and can produce complex outputs like videos and images. Ng shared an anecdote about encountering AI-generated content in a student's draft letter of recommendation, emphasizing the need for transparency and critical review of AI-generated material.<br /><br />Students have faced allegations of cheating using AI, but studies suggest rates haven't increased since AI's introduction. AI's role in psychiatry education has sparked concern and excitement, particularly after AI like ChatGPT passed medical exams. Concerns revolve around how AI might influence learning experiences, potentially inhibiting critical thinking if over-relied upon for generating differential diagnoses or reports. Ng highlights the need for incorporating AI competency in psychiatric training, emphasizing effective learning through active engagement rather than passive reception.<br /><br />While AI offers potential benefits in education, research, and mentoring, there are significant limitations, including inaccuracies, biases, and the risk of misinformation. Ng underscores the importance of educators guiding proper AI usage, developing institutional policies, and anticipating integration of AI in clinical settings. Additionally, training psychiatrists in clinical informatics is deemed crucial to navigate future challenges effectively. Ng advocates adapting educational frameworks to include AI proficiency, ensuring that AI enhances rather than hinders medical education and practice.

Keywords

augmented intelligence

psychiatric education

generative AI

ChatGPT

AI ethics

AI in psychiatry

AI competency

medical education

clinical informatics

AI limitations