The Teaching and Learning Committee, a subcommittee of the AI Coordinating Council, released on Mar. 24 a series of white papers aimed at guiding faculty and the institution in the responsible use of artificial intelligence in teaching and learning. The papers bring together current research findings and offer recommendations for pedagogy, policy, and institutional practice.
The release of these white papers is significant as it provides structured guidance for educators navigating the growing presence of AI tools in academic settings. With technology evolving rapidly, institutions are seeking ways to integrate AI responsibly while maintaining educational integrity.
Two papers are currently available through the AI Toolkit for Faculty. The first paper, “AI Detection Tools in Higher Education: Evidence, Risks, and Recommendations for Institutional Practice,” reviews research on tools that claim to detect AI-generated student writing. According to the committee’s conclusions outlined in this paper, such detection tools do not provide sufficient value to justify their adoption by institutions or their use as evidence in cases involving academic misconduct.
The second paper titled “Tutoring with Humans and Machines: Recommendations for Institutional Practice” examines how generative AI can be used in tutoring and academic support environments. The committee concludes that while some circumstances may allow for supplemental learning through AI systems, institutions should prioritize strengthening peer tutoring programs. It also recommends integrating artificial intelligence only within frameworks guided by human oversight and sound pedagogical principles.
A forthcoming white paper will address best practices related to using artificial intelligence when responding to student work.
All published white papers are accessible via the AI Toolkit for Faculty.
