[25] AI Reporting Reform: Raising the Bar for Transparency of Large Language Model use in Medical Education Research

In today's show, Adam chats with Gustavo Patino to discuss the implications of artificial intelligence in medical education publishing. They explore the need for transparency in AI model reporting, issues related to predictive accuracy, and the potential biases that can arise in AI applications. The conversation emphasizes the growing need for clear reporting guidelines in the use of AI in health professions education research and reviews some practical strategies to achieve this goal.

Length of Episode: 31:04

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