AIREP: A Protocol for Per-Decision Evidence in AI Runtime Governance

AIREP：一种用于 AI 运行时治理中单项决策证据的协议

Abstract: A protocol is presented for recording the governance decisions of automated AI runtimes. When a runtime releases, blocks, defers, redacts, or escalates an individual output, AIREP records that decision as a single signed object that any party can check offline, independent of the runtime that produced it.

摘要： 本文提出了一种用于记录自动化 AI 运行时治理决策的协议。当运行时系统发布、拦截、推迟、编辑或升级某项具体输出时，AIREP 会将该决策记录为一个单一的签名对象。任何一方都可以在离线状态下对该对象进行验证，且无需依赖生成该决策的运行时系统。

A record carries the decision as one of a closed set of verbs under a stated policy basis, references its input, output, and evidence by hash rather than by value, and declares both what its evidence covers and what it does not. Records form a SHA-256 hash chain that binds each record to its position, so that tampering and gaps are detectable by recomputation.

记录以一组预定义的动词作为决策依据，并基于既定的策略基础进行描述；它通过哈希值而非原始值来引用输入、输出和证据，并明确声明其证据所涵盖及未涵盖的范围。这些记录构成了一个 SHA-256 哈希链，将每条记录与其位置绑定，从而可以通过重新计算来检测篡改或缺失情况。

Vendor-, model-, and domain-specific content is confined to a single optional namespace, and a mechanical neutrality test keeps the shared format free of it. A reference implementation and a two-language conformance kit are described. Some implementation issues are considered, and problems such as alignment of the canonical form across implementations, freshness witnesses, and multi-runtime chains are exposed. The format is offered for adoption by any AI runtime that records governance decisions.

供应商、模型和领域特定的内容被限制在一个可选的命名空间内，并通过机械中立性测试确保共享格式不受其干扰。文中还描述了一个参考实现方案和一个双语言一致性工具包。此外，本文探讨了一些实现层面的问题，并指出了诸如跨实现规范形式对齐、新鲜度证明（freshness witnesses）以及多运行时链等挑战。该格式旨在供任何记录治理决策的 AI 运行时系统采用。

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Paper Details:

• Authors: Ali Toygar Abak
• Date: 31 May 2026
• Subjects: Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)
• DOI: 10.48550/arXiv.2608.21363

论文详情：

• 作者： Ali Toygar Abak
• 日期： 2026 年 5 月 31 日
• 学科： 人工智能 (cs.AI)；密码学与安全 (cs.CR)
• DOI： 10.48550/arXiv.2608.21363