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RC-1 · Risk Taxonomy 2026.1

Hallucination

Mechanism

The AI generates content that is plausible, coherent, authoritative-sounding but factually wrong — fabricated case citations, mis-stated regulations, invented clauses, synthesised doctrine that diverges from the source.

Evidence (what the Evidence Register holds)

Per-system evaluation history; gold-set test results; citation-check audit trail; output verification logs; per-output validator attribution.

Mitigation

Output verification protocol; gold-set evaluation; citation check on every regulated workflow; lawyer-in-the-loop on first-draft outputs; per-jurisdiction citation-form validation.

Editorial Framing

Hallucination is Class 1 of the Risk Taxonomy 2026 not because it is the most common — it is — but because it is the most defining. A function that has not built decision traceability around hallucination is structurally undefendable: every AI-assisted output of consequence becomes a question the function cannot answer.

The discipline that addresses Class 1 is decision traceability (Defensibility Element 1). Per AI-assisted output of consequence: inputs, model returns, named human validator; reconstructable on demand. The Evidence Register holds the contemporaneous proof.

Indicative Examples

  • Fabricated case citation in a filed brief
  • Mis-stated holding in a research memo
  • Invented contract clause variants presented as standard
  • Hallucinated statute reference in client advice