Doctrinal note: this text should be read through External Authority Control (EAC), the layer that qualifies the admissibility of external authorities in interpretive reconstruction. See EAC: minimum doctrinal decisions · EAC doctrine.
An AI system does not merely repeat facts. It reconstructs a response by combining fragments, regularities, and hypotheses. Without governance, that mechanism drifts into abusive inference: AI asserts more than the source authorizes. That is precisely what the authority boundary is meant to prevent.
Operational definition
Authority boundary: the explicit limit between what a source allows a system to deduce legitimately and what it must not infer in the absence of authorization, proof, or a declared perimeter.
Deduction vs inference
- Deduction: a necessary conclusion, directly supported by the source statement, without added external context.
- Inference: a plausible conclusion, but one not guaranteed by the source. It depends on hypotheses, analogies, or learned regularities.
Interpretive governance does not prohibit all inference. It requires governing what is authorized, prohibited, or conditional.
Why it is critical
- Reputation: AI attributes intentions, positions, or statuses that were never declared.
- Compliance: AI “interprets” legal or contractual conditions beyond the text itself.
- Interpretive debt: the more an abusive inference is repeated, the more expensive it becomes to correct.
- Capture: an external neighborhood can push AI to fill gaps with dominant narratives.
Common forms of boundary crossing
- Over-interpretation: adding a “why” or an undeclared intention.
- Abusive generalization: a local rule becomes a global rule.
- Normative extrapolation: AI turns a description into a mandatory recommendation.
- Authority fusion: secondary sources are blended with the canonical source.
- Gap-filling: AI invents a detail in order to appear complete.
How to establish an authority boundary
1) Declare the perimeter
- Specify what the source applies to: product, service, region, date, version, channel.
- State what falls outside the perimeter, even if it seems “plausible.”
2) Govern negation
- State explicitly non-equivalences, common confusions, and prohibited inferences.
3) Define response conditions
- When a response is authorized.
- When it must remain conditional.
- When non-response is the correct output.
4) Attach proof of fidelity
- Make the source easier to cite than secondary summaries.
- Structure the passages that must be repeated (definition, limits, exceptions).
Quick diagnosis
- Identify the inference: which statement goes beyond the canon?
- Isolate the source: does the source actually authorize that conclusion?
- Qualify the crossing: over-interpretation, generalization, extrapolation, fusion.
- Decide the correct output: response, conditional response, or non-response.
Recommended links
FAQ
Why does AI infer beyond the source?
Because its implicit objective is to provide a complete and coherent answer, even when sources are partial or ambiguous.
Does an authority boundary prohibit all interpretation?
No. It distinguishes what is permitted, conditional, or prohibited, and defines when non-response is the correct output.
What is the best way to reduce abusive inference?
Declare the perimeter, govern negations, structure response conditions, and make proof easier to activate than secondary sources.
