TY  - VIDEO
AU  - Tonya Thomas
AU  - John Lowry
AU  - Cassidy Punt
AU  - Chris Shaltry
TI  - Evaluating AI Outputs: Ensuring Accuracy and Relevance
JO  - AAMC Medical Education Webinars
Y1  - 2025
DA  - 2025/07/17
PB  - Cassyni
UR  - https://cassyni.com/events/N4SzEJWHn1Z8nHCzSECkQM
Y2  - 2026/04/29
AB  - Not all AI-generated content is created equal—and in medical education, accuracy is everything. In this high-impact session, you’ll learn how to separate fact from fiction, spot misleading AI “hallucinations,” and ensure the content you use or share is credible, relevant, and aligned with your teaching goals. Whether you're just starting with AI or looking to sharpen your evaluation skills, this session will give you the edge you need to use AI responsibly and effectively.Objectives:- Analyze AI outputs to determine alignment with educational goals.- Check AI outputs for accuracy, correctness, and relevance against credible sources.- Triangulate results across multiple AI tools.- Recognize ethical risks such as AI-generated misinformation and biased content. This webinar is part of the AI Skill Building for Medical Educators Webinar Series, hosted by the AAMC. For more information, see [the complete series webpage](https://www.aamc.org/learn-network/affinity-groups/group-educational-affairs/webinar-series-ai-skill-building-medical-educators). CME Information- View the last page of the slide deck for complete instructions on earning CME credit for this recording- CME credit for this learning opportunity is organized by Michigan State University College of Human Medicine Office of Continuing Medical Education- You will be prompted to create an account to obtain credit
ER  -