AIREP: A Protocol for Per-Decision Evidence in AI Runtime Governance
Runtime-governance evidence often collapses materially different events into one audit record: a decision may be made, an instruction dispatched or received, an action may or may not execute, and a resulting state may or may not be observed. This paper presents AIREP, a vendor- and model-independent protocol for per-decision AI runtime evidence. Its current wire model separates evidence into four artifact families: Decision, Control, Execution, and Effect. Artifacts use closed core schemas, explicit identities and digests, declared scope limits, RFC 8785 canonical JSON, domain-separated SHA-256 hashing, and pure Ed25519 signatures. A three-level assurance model distinguishes structural/ha...
| Authors | Ali Toygar Abak |
|---|---|
| Primary category | cs.AI |
| Published | 31 May 2026 |
| Last updated at source | 16 September 2026 |
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