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Date of Award
5-6-2026
Document Type
Video Recording
Abstract
AI tools are appealing because they feel fast, embedded, and endlessly accessible, but that convenience comes with a growing problem: hallucinated information that sounds correct but falls apart under scrutiny. At our institution, AI-generated references frequently arrive through our Get It For Me service, creating extra work as staff cancel requests and untangle citations that never existed. We're also increasingly seeing students and faculty rely on AI-generated content without recognizing how hallucinated data or references can quietly distort their findings. In this lightning talk, we'll share how we've learned to recognize AI-generated citations and information, why AI often presents misinformation with confidence, and how we guide users to reframe AI as a starting point in the information-gathering process rather than an end product. A key insight is that while AI may be useful, its generated content cannot be assumed to be fully accurate and does not eliminate the need for critical thinking.
Recommended Citation
Owens, Ripley and Martin-Klumpp, Amy, "Fast, Easy…and False? Not Falling for AI's Hallucinations" (2026). 2026 Southeastern Conference (SEC) AI Library Summit. 12.
https://scholarsjunction.msstate.edu/sec-ai-2026/12
