Responsible Adoption of Generative AI in Higher Education: Developing a “Points to Consider” Approach Based on Faculty Perspectives.

Dotan R, Parker LS, Radzilowicz J. Responsible Adoption of Generative AI in Higher Education: Developing a “Points to Consider” Approach Based on Faculty Perspectives. FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. 2024; Pages 2033-2046. https://doi.org/10.1145/3630106.3659023

Summary: This paper presents a "points to consider" framework for responsibly adopting generative AI in higher education, developed from faculty perspectives at the University of Pittsburgh. The study highlights that centralized, top-down approaches to AI governance—common in the private sector—conflict with higher education's ethos of collaborative governance, academic freedom, and pedagogical goals. Through an interdisciplinary process involving discussions, focus groups, and surveys, the paper identifies key benefits, risks, and barriers to AI adoption. It culminates in six normative considerations for adopting and governing generative AI within academic institutions, aimed at aligning AI use with educational values.