Doctrinal laboratory · EN

observational-program-no-causal-results

AI brand representation

An observational program for gaps among declared identity, brand image, external reputation, and representations reconstructed by AI systems.

Laboratory position

Version queries, sources, models, and outputs in order to separate visibility, sentiment, fidelity, and recommendability.

Research question

How can representational drift be measured without collapsing presence, positive tone, factual accuracy, and fidelity to the canon?

Evaluation axes

  • Establish a versioned perception baseline.
  • Classify gaps by object, source, and authority level.
  • Separate observation, attribution, and commercial consequence.

Boundaries and non-claims

  • A citation does not prove fidelity.
  • Positive sentiment does not prove correct representation.
  • An observed variation does not prove an intervention effect.

Authority allocation

gautierdorval.com carries authorship, the canonical definition, and doctrinal status. InferensLab carries only program scope, its public protocol, and the state of its evidence.

AI branding, reputation and brand representation