Guiding Principles for AI in History Education

Moderator: Brendan Gillis, American Historical Assn.

Jennifer Baniewicz, Amos Alonzo Stagg High School
Doron Ben Atar, Fordham Univ., Lincoln Center
Theresa Case, Univ. of Houston, Downtown
Adam Clulow, Univ. of Texas, Austin
Sonia Hernández, Texas A&M Univ.
Lee Vinsel, Virginia Tech

Generative AI tools, including large language models (LLMs), are transforming history education, posing both opportunities and obstacles for educators tasked with teaching history and historical thinking. Published in August, the AHA’s Guiding Principles for AI in History Education emphasizes a disciplinary approach to AI that focuses on specific aspects of history education that might not be addressed in broader institutional policies.

In this event, members of the AHA’s Ad Hoc Committee on Artificial Intelligence in History Education discussed the rapidly changing landscape of AI and its implications for teaching and learning.

A recording of this event is available on the AHA’s YouTube channel.