arXiv：cs.AI· Ahammod Munim Ramil, Khalid Al Kafi, M. A. Abdullahis Sany, Muktadirul Islam Nibir, Md Yeasin Ali, Mohammad Zavid Parvez, Md Sadek Ferdous·· 1 天前
如何为自主 AI 智能体建立去中心化身份与问责机制
Who is the 'I' in AI? Establishing Decentralized Identity and Accountability for Autonomous Agents
AI 导读
一篇论文提出基于自主主权身份（SSI）原则的去中心化 AI 身份框架，用统一身份演算区分人类用户与 AI 智能体。核心是 ABCD 框架：算法指纹绑定模型架构与来源，行为指纹验证动态性能，密码学身份通过 DID 锚定智能体，委托机制将智能体行为密码学地绑定到人类问责。该框架通过正交化四个维度，支持从简单认证到复杂责任分配的细粒度信任策略。
正文
Abstract:The rapid proliferation of autonomous AI agents in decentralized ecosystems challenges existing identity paradigms. While human identity is traditionally anchored in biological and/or self-asserted attributes and government credentials, AI agents lack a standardized definition of selfhood, creating critical gaps in trust and accountability. This paper introduces a novel framework for establishing Decentralized AI Identity rooted in Self-sovereign identity (SSI) principles. We propose a formal model that clearly distinguishes human users and AI agents, enabling distinct verification logic for each class while maintaining a unified identity calculus. The central to our contribution is the ABCD Framework, a multi-layered approach to agent identification and verification: (A) Algorithmic Fingerprint, which binds the identity to static model architectures and provenance; (B) Behavioural Fingerprint, which verifies dynamic performance metrics over time; (C) Cryptographic Identity, which anchors the agent via Decentralized Identifiers (DIDs) and (D) Delegation, which cryptographically binds agent actions to respective human accountability. By orthogonalizing these dimensions, we model how systems can enforce granular trust policies ranging from simple authentication to complex liability assignment, thereby solving the black box identity problem in the autonomous economic activities of AI agents.
| Subjects: | Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.17126 [cs.CR] |
| (or arXiv:2610.17126v1 [cs.CR] for this version) | |
| https://doi.org/10.48550/arXiv.2610.17126 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Ahammod Munim Ramil [view email]
[v1]
Mon, 12 Oct 2026 17:15:54 UTC (1,357 KB)
来源：arXiv：cs.AI · arxiv.org