Teaching & Learning with AI
Description
As generative AI becomes embedded in higher education, AI hallucinations—plausible but unsupported outputs—pose a growing threat to academic integrity and student learning. This session examines how hallucinations manifest in academic work and why higher education is uniquely vulnerable to fluent but inaccurate AI-generated content. Emphasizing prevention over surveillance, the presentation explores strategies for grounding AI use in verified sources, requiring transparent uncertainty and citation practices, and maintaining human oversight in academic workflows. The session concludes by reframing academic integrity for AI-rich environments, arguing that the goal is not an AI-free classroom but a learning-centered one grounded in accuracy, verification, and intellectual responsibility.
Publication Date
6-12-2026
Location
Orlando, FL
Keywords:
AI hallucinations, academic integrity, generative AI, fabricated citations, source verification, AI literacy, information literacy, epistemic integrity, human oversight, learning-centered design
Language
eng
Session Type
Presentation (30 Minutes)
Format
ms-powerpoint
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Audience
Faculty, Educators, Administrators
Recommended Citation
Mott, Robert K. and Myers, Mary, "AI Hallucinations, Academic Integrity, and Learning-Centered Design" (2026). Teaching & Learning with AI. 10.
https://stars.library.ucf.edu/teaching-and-learning-with-ai/10