AI systems confidently invent citations, statistics, and facts that don't exist—a problem called hallucination that's especially dangerous in academic work where authority matters. Learning to spot these (checking citations, cross-referencing claims, noticing awkward phrasing) is non-negotiable when using AI for research.
AI hallucination refers to instances when a language model generates text that sounds authoritative but contains fabricated facts, citations, or statistics.
Knowing how to spot and verify AI hallucinations is a critical skill for college students because submitting false information in a paper, even unintentionally, can result in academic integrity violations and grade penalties.
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