探索去中心化AI代理如何实现自治，同时应对信任与可靠性之间的矛盾。
Trustless Autonomy: Understanding Motivations, Benefits, and Governance Dilemmas in Self-Sovereign Decentralized AI Agents
- 结合大模型与区块链技术，让AI代理自主掌控数字资产和账户。
- 调研发现代理自治可减少人为干预，但面临幻觉等可靠性挑战。
- 适合关注AI治理、去中心化系统设计的研究者与开发者。
自主权去中心化AI代理（DeAgents）将基于大语言模型的AI代理与区块链智能合约、可信执行环境（TEEs）等去中心化技术相结合。这些防篡改的无信任基础架构使代理通过持有加密钱包私钥，实现对数字资产和社会媒体账号的自主控制。DeAgents消除了中心化管控，降低了人为干预，解决了集中式AI系统固有的信任问题，并推动了“智能作为公共资源”的新型人机协作范式。然而，由于大语言模型存在幻觉等可靠性挑战，导致去中心化自治与不可靠自主性之间产生悖论。本研究通过访谈DeAgents相关利益方——专家、创始人及开发者，探讨其动机、收益与治理困境，为未来代理系统与协议设计提供依据，并推动对社会技术性AI系统在智能代理网络中治理问题的讨论。
原文摘要 · Abstract (English)
The recent trend of self-sovereign Decentralized AI Agents (DeAgents) combines Large Language Model (LLM)-based AI agents with decentralization technologies such as blockchain smart contracts and trusted execution environments (TEEs). These tamper-resistant trustless substrates allow agents to achieve self-sovereignty through ownership of cryptowallet private keys and control of digital assets and social media accounts. DeAgents eliminate centralized control and reduce human intervention, addressing key trust concerns inherent in centralized AI systems. This contributes to social computing by enabling new human cooperative paradigm "intelligence as commons." However, given ongoing challenges in LLM reliability such as hallucinations, this creates paradoxical tension between trustlessness and unreliable autonomy. This study addresses this empirical research gap through interviews with DeAgents stakeholders-experts, founders, and developers-to examine their motivations, benefits, and governance dilemmas. The findings will guide future DeAgents system and protocol design and inform discussions about governance in sociotechnical AI systems in the future agentic web.
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