Syed Latifi¹
Mark Healy¹
1 Weill Cornell Medicine-Qatar

Recent advances in artificial intelligence (AI) have opened new avenues for educators. One such advancement is Generative AI. This is an emerging field which utilizes algorithms to generate content of varying formats (i.e., text, image, audio, video). Such technologies have the potential to support educators with various tasks, such as lesson planning, content creation, assessment generation and blueprinting, lecture review summaries, etc. 

One such branch of generative AI, large language models (LLMs), for example, can benefit both students and educators. Students can use LLMs to summarize lengthy texts, in the form of conversational dialogue (akin to a virtual study partner), while educators can use it as a tool to generate draft assessments. Automation (or partial automation) of some tasks, such as those outlined above, in learning and teaching are important because they carve out more time for educators to refine and enhance the students’ learning experience [1,2]. 

Session outline: 

This presentation is meant to present, discuss, and co-learn the challenges and opportunities of using Generative AI for medical education. The session will provide a grounding for educators on the capabilities, opportunities and challenges presented by Generative AI within medical education. Educators will be able to make more informed decisions on possible use-cases for Generative AI in the instructional design, assessments, and administrative tasks [2,3]. They will also be more cognizant of how to guide students to use such technologies effectively and responsibly. 

Who should attend: 
Anyone with an interest in the application of Generative AI in medical education. 

References (maximum three) 

1. Cooper, A., & Rodman, A. (2023). AI and Medical Education-A 21st-Century Pandora's Box. The New England journal of medicine.