Framing
This note addresses a doctrinal clarification — a concise framing, distinction, or principle that anchors broader governance discussions. The specific concern: when models become more confident than their sources.
This page is an institutional rewrite of a research theme originally published on gautierdorval.com. The theme “When models become more confident than their sources” is presented as doctrine only. Governance begins where a system can justify why it answered, or why it refused to answer. In agentic contexts, outputs can trigger actions. Doctrine bounds delegation.
The doctrinal stake is precise: Useful distinctions: signal vs proof, plausible vs defensible.
Key distinction
The mechanism operates on several levels. Micro-mental models for humans and agents. This is not a marginal edge case — it reflects how generative systems handle ambiguity, competing sources, and incomplete information when explicit governance constraints are absent.
A further dimension compounds the problem: Conceptual checklists (non-procedural). When multiple factors interact without governance, the system produces outputs that are internally consistent yet may diverge from canonical meaning. The result is not a single detectable error but a pattern of drift.
The practical consequence is measurable: ungoverned interpretation accumulates as interpretive debt — small deviations that individually appear trivial but collectively reshape perceived reality. The cost of correction scales with propagation depth, making early governance intervention significantly more efficient than retroactive repair.
Governance anchor
This framing provides a reusable anchor for broader governance discussions. Doctrinal precision on individual concepts reduces ambiguity across the entire governance surface.
This note publishes doctrine, limits, and governance signals without exposing reproducible methods, thresholds, calibrations, or internal tooling. Operationalization remains available under private engagement.