In the video Alex discusses the increasing emergence of artificial intelligence (AI) tools and their impact on Continuing Medical Education (CME) and Continuing Education (CE). While recognizing the proficiency of AI in data storage, sorting, and retrieval, Howson highlights significant concerns including AI's inability to understand context, nuance, and emotional elements essential for quality and ethical CME and CE content. The lack of content integrity and the reproduction of existing social and cultural biases by AI tools are also emphasized as major issues. Howson cites an AP report mentioning the substantial water consumption by AI models, underscoring sustainability concerns. Despite these drawbacks, Howson acknowledges the potential of AI in aiding tasks like data coding and brainstorming, suggesting a supplemental role for AI tools rather than complete reliance on them for CME and CE content creation.

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CONTENT
00:39 Gen-AI has many drawbacks
1:01 No capacity for context
1:44 Lacks content integrity
2:12 Reinforces bias
3:13 Augment your system

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ABOUT
Subscribe to Write Medicine to explore best practices in creating content that connects with and educates health professionals. Topics include CME theory and practice, productivity, storytelling, and well-being for both CME practitioners and learners.

Alexandra Howson PhD is a writer and researcher who creates and evaluates education content for health professionals. A former nurse and academic, Alex teaches medical writers how to build and enrich a whole-hearted CME writing niche via community, courses, and coaching.

#medicalwriting #medicaleducation #cme

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