Established: 2023 (term 2 years)

Purpose: This group will explore the implications of artificial intelligence (AI) tools for history teaching and learning. Based on its assessment of this evolving landscape, the committee will propose guidelines or professional standards to address the practical, ethical, and pedagogical consequences of the ready availability of AI chatbots, large language models, and other machine learning tools for history instruction at all levels. This process might either include or culminate in recommendations for sessions at the AHA annual meeting.

Membership: 8 members, including 1 representative from the AHA Teaching Division

Assignment to Division: Teaching Division

Members

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.
Kelly Schrum, George Mason Univ.
Tamara Shreiner, Grand Valley State Univ.
Lee Vinsel, Virginia Tech

Staff
Brendan Gillis, Director of Teaching and Learning