Interpretive hallucination
This page defines the concept of interpretive hallucination in a machine-first context. It provides an operational definition, typical mechanisms, confusions to avoid, and usage limits of the term.
Scope: canonical definition.
This page constitutes neither legal advice, nor a case analysis, nor an accusation targeting any organization, court, party, firm, or person.
Definition
An interpretive hallucination is the production of a plausible but false statement, generated or reconstructed by a probabilistic system, then presented with a form of certainty. It occurs when a system completes an uncertainty zone through stylistic coherence, analogy, or narrative continuity, rather than through anchoring in a verifiable source.
Characteristics
- High plausibility: the statement “sounds true” and adopts a credible form.
- Simulated certainty: tone and structure mimicking authority replace proof.
- Weak or absent anchoring: unfindable sources, nonexistent citations, unpublished details, unauthorized extrapolations.
- Closure effect: the statement artificially reduces uncertainty and prevents abstention.
Frequent mechanisms
Interpretive hallucinations often appear when the system must produce a “complete” response despite insufficient, inaccessible, or non-canonized information. Among the frequent mechanisms:
- Narrative completion: addition of coherent but unconfirmed details (dates, names, roles, figures).
- Authority simulation: plausible references, correctly formed citations but nonexistent, invented extracts.
- Abusive generalization: shift from a particular case to a general rule without justification.
- Projection by analogy: inference from habitual patterns (“it looks like… therefore it is…”).
- Semantic compression: reduction of a complex landscape into a simplified narrative, at the cost of accuracy.
What this term is not
The term “interpretive hallucination” must not be used to designate:
- A simple approximation explicitly presented as uncertain (e.g.: range, declared hypothesis).
- A transcription error or typographical mistake without reconstruction effect.
- An interpretation disagreement when sources exist and are explicitly discussed.
Validity threshold and abstention rule
An output must be considered unconfirmed when the information is not supported by a verifiable source or by an explicitly published canon. In case of uncertainty, the correct production is abstention, a request for clarification, or an explicit declaration of non-knowledge.
Primary impact
The central risk is not merely inaccuracy, but attribution: erroneous routing of information toward a person, an organization, a role, or a source, which can produce credibility, reputation, or decision effects.
Associated pages
- Clarification: hallucinations, attribution, and interpretive risk
- Clarifications index
- Artificial intelligence use policy
Intent note:
The sole function of this page is to define a term in order to reduce inference and attribution errors produced by human or automated systems.