Bringing Student Voices into the Campus AI Conversation

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Originally presented to the Gardner Institute AI Community of Practice on Tuesday, July 28, 2026] by Jason S. Todd

As colleges and universities rush to develop policies governing artificial intelligence, those most affected by those policies, the students, are often the last to be consulted. Bringing student voices into the campus conversation about AI raises questions about who holds authority in institutional decision-making and how quickly or how slowly such decisions should be made. Moving from the broad level of university governance down to the individual classroom, this session considers how faculty and administrators can build AI policies with students rather than for them, and makes the case for an intentionally slow, deliberative process as a form of care. Drawing on Xavier University of Louisiana's own still-evolving efforts, Dr. Jason S. Todd, Director of Xavier's Center for the Advancement of Teaching & Faculty Development, will share practical lessons and engage participants in a discussion about student voice, process, and equity in the age of AI.

https://gamma.app/embed/2expcn2902fqlt7

Resources

  • Bovill, C. (2020). Co-creating Learning and Teaching: Towards relational pedagogy in higher education. Routledge.
  • Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education. DOI: 10.1186/s41239-023-00408-3
  • Chehak, M., Debelius, M., Holtschlag, J., Kim, G., Le, K., Lyons, S., Nutting, H., and Oh, S. (2025). Designing an AI policy: An experiment in co-creation. International Journal for Students as Partners, 9(1). https://files.eric.ed.gov/fulltext/EJ1476834.pdf
  • Cook-Sather, A., Bovill, C., Felten, P. (2014). Engaging Students as Partners in Learning and Teaching: A Guide for Faculty. Jossey-Bass.
  • Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1
  • Ellucian, Huston-Tillotson University, and UNCF Institute for Capacity Building. (2025). The Shift Ahead: HBCUs, Artificial Intelligence, and a New Vision for Higher Education. https://lp.ellucian.com/rs/085-MHT-312/images/HBCU-AI-Report-25.pdf
  • Gallup and Lumina Foundation. (2026). AI in Higher Education Widespread Use, Unclear Rules. https://www.gallup.com/file/analytics/704279/Lumina-Foundation-Gallup-SOHE_AI_Report.pdf
  • Perkins, M., Furze, L., Roe, J., & MacVaugh, J. (2024). The Artificial Intelligence Assessment Scale (AIAS): A framework for ethical integration of generative AI in educational assessment. Journal of University Teaching and Learning Practice, 21(6), 49–66. https://doi.org/10.53761/q3azde36
  • Todd, J. S. (2026). "A Whole Cartload of Beautiful Possibilities": Moral Guidance and the Paradigm Shift of Generative AI. In Artificial Intelligence for Educational Inclusion and Equity: International Studies and Critiques (pp. 66–83). Edward Elgar. https://doi.org/10.4337/9781035346431.00009
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