Pink dotted and green striped territories sit on opposite sides of a wall, each with its own rulebook and rule symbols. A robot carries a mixed suitcase between them, and mismatched symbols appear inside both territories.
POC-reviewed visual · version 1

Concept dictionary

Policy Leakage

Policy leakage is what happens when rules, defaults, or sensitivities built for one legal or cultural setting show up in how an AI system behaves somewhere else — so people in the second place are governed by the first place's assumptions without having chosen them or being told.

Review state
Reviewed in POC
Freshness
Current
Version
3

Also called

  • Policy Leakage

Remember it this wayThe model crossed borders; its policy came too.

In plain language

An AI system may carry behavioral limits or defaults from the place where it was built, trained, reviewed, or governed into a different setting. Users then encounter policy they did not knowingly choose.

Why it matters

Hidden policy transfer can affect access, expression, compliance, and trust. Teams need to distinguish model behavior from requirements that actually apply in the deployment environment.

Example

A service used in one country refuses an ordinary local request because its behavior reflects restrictions designed for another jurisdiction.

Common misconception

Policy leakage is not the same as leaking private policy documents. It is the appearance of embedded rules or assumptions outside their original context.

Related terms

Sources

  • Anu Bradford, “The Brussels Effect”explains how one jurisdiction’s standards can spread through global markets and become embedded elsewhere without international agreement or direct coercion. This supports the mechanism behind the Renaissance Solutions term; Bradford uses “Brussels Effect,” not the label “Policy Leakage.”

Learn more

  • Compare deployment context with [[context-to-reality-drift|Context-to-Reality Drift]].

Reviewed in POC · last human review 2026-08-07 · content version 3 · visual version 1

Source and POC details

Source: learning-library/glossary/terms/policy-leakage/term.md

Source hash: sha256:86dafd9abd4e74886d8f9e8b02fc77c83cf55f7360e3604290fed337292d9d01

Media: POC-reviewed evidence; RS AI Learning Lab, Owned production asset.

Release: glossary-team-poc-0.5.5-2026-09-02 · not production approved