AI Governance Glossary

Model Inference Consent Record

A model inference consent record is a structured entry that captures the specific authorization, policy decision, or approval that permitted a given AI inference or agent tool call to occur, including who or what requested it, what was authorized, and under what policy scope.

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Core Elements of a Consent Record

A consent record typically documents the following fields at the moment an authorization decision is made:

Requestor Identity

The user, service, or agent identity that initiated the inference or tool call.

Authorization Scope

The specific permission or policy that allowed the action to proceed.

Policy Decision

The outcome of the runtime policy evaluation, including any conditions applied.

Timestamp and Context

When the decision was made and the operational context surrounding it.

Implementation Considerations

The following practices help ensure consent records remain reliable, auditable, and clearly separated from general system logs:

Capture at the decision point: Generate the record at the moment authorization is evaluated, not retroactively from behavior logs.
Separate consent records from general logs: Store authorization decisions distinctly so they can be queried independently of performance or output logs.
Include denial events: Record blocked or denied requests with the same rigor as approved ones to support complete audit trails.
Tie records to identity systems: Link requestor identity fields to existing ident