Delta-1: A SCITT Profile for Binary Settlement Receipts in Agentic AI Accountability
draft-chang-delta1-settlement-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
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| Author | OIALAB | ||
| Last updated | 2026-10-17 (Latest revision 2026-04-15) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
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| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
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This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
This document defines Delta-1, a profile of the SCITT (Supply Chain Integrity, Transparency, and Trust) architecture applied to AI agent decision accountability. Delta-1 specializes the SCITT receipt model for a specific use case: proving that an individual AI decision met three accountability conditions simultaneously: C1: Evidence of the decision process was consumed and sealed. C2: Strategic intent was isolated from inference providers. C3: An authorized party recorded the settlement. The verdict is binary (VALID or INVALID) with no intermediate states. Receipts are independently verifiable without the issuing infrastructure being online, subject to the trust and attestation assumptions defined in this document. By building on the SCITT framework, Delta-1 inherits transparency-log semantics, receipt conventions, and verification patterns, while extending them with domain-specific requirements for AI decision closure. This profile is intended for regulated industries, including finance, healthcare, and legal, operating under accountability and record- retention obligations.
Authors
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)