SRC06-E01 — Enterprise Hallucination Framing

Research	R0048 — Corporate AI Training
Run	2026-03-29
Query	Q003 — Hallucination Training
Source	SRC06 — Glean Enterprise
Evidence	SRC06-E01

Extract

Hallucinations emerge "from the model's pattern-matching capabilities rather than what actually exists in reality." AI models generate "text that appears credible and authoritative but contains no factual basis." The enterprise framing positions hallucinations as a technical problem solvable through contextual grounding (RAG), rather than as a user-awareness problem requiring training.

Relevance to Hypotheses

Hypothesis	Relationship	Strength
H1	Partially supports — enterprise content acknowledges fundamental nature	Weak
H2	Contradicts — some enterprise content goes beyond "occasional errors"	Weak
H3	Supports — enterprise framing focuses on technical fixes (RAG) not user awareness	Moderate

Context

Enterprise AI vendors frame hallucinations as a technical problem with technical solutions (grounding, RAG, retrieval). This framing may reduce perceived need for user training about hallucination mechanisms.

Notes

The vendor framing of hallucinations as technically solvable (through RAG/grounding) is significant because it creates a false sense of security: if the technology can fix hallucinations, why train users about them? This may contribute to the superficiality of user training.