Category

Exogenous governance

Category
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Role of this category

This category addresses exogenous governance, that is, the full set of constraints imposed on AI systems from the outside: regulations, standards, social uses, and institutional expectations.

The objective is not to inventory them, but to analyze their interpretive effects: how an external constraint changes the way an AI system understands, reformulates, or hierarchizes information.

Analytical angle

The articles in this category show that exogenous governance rarely acts where it is expected to. It produces indirect, and sometimes counterintuitive, effects on response stability and the drift of meaning.