用DAO实现人机协同的去中心化物理智能系统
DAO-enabled decentralized physical AI: A new paradigm for human-machine collaboration
- 以区块链与DAO为基础，构建人机协作的去中心化治理架构
- 实现物理基础设施与AI系统的透明、可审计协同运行
- 适合关注去中心化基建、社区治理和可信AI的开发者与研究者
我们提出基于DAO的去中心化物理人工智能（DePAI），一种协调人类与自主机器在物理-数字系统中运营与治理的民主化架构。首先，融合区块链、去中心化自治组织（DAO）与密码经济学基础；其次，将DAO设计与数字民主中的协商与投票研究相连接，相互促进；第三，将DAO治理的去中心化物理基础设施网络（DePIN）置于从能源与传感到连接、存储/计算、模型及机器人构成的垂直集成栈中；第四，定义了机器执行与人类监督结合的工作流，推动技术-社会-经济系统的自组织能力，形成DePAI；第五，分析安全、集中化、激励失效、法律风险及内在动机削弱等风险，主张价值敏感设计与持续适应的治理。DePAI提供了一条可扩展、有韧性、融合物理基础设施、人工智能与社区所有权的路径，通过链上规则、激励机制与无许可参与，旨在保障人类自主性。
原文摘要 · Abstract (English)
We propose DAO-enabled decentralized physical AI (DePAI), a democratic architecture for coordinating humans and autonomous machines in the operation and governance of physical-digital systems. We (1) synthesize foundations in blockchains, decentralized autonomous organizations (DAOs), and cryptoeconomics; (2) connect DAO design with digital-democracy research on deliberation and voting, showing how each can advance the other; (3) position DAO-governed decentralized physical infrastructure networks (DePIN) within a vertically integrated stack that links energy and sensing to connectivity, storage/compute, models, and robots; (4) show how these elements specify workflows that couple machine execution with human oversight, enabling enhanced self-organization of techno-socio-economic systems, which we call DePAI; and (5) analyze risks, including security, centralization, incentive failure, legal exposure, and the crowding-out of intrinsic motivation, and argue for value-sensitive design and continuously adaptive governance. DePAI offers a path to scalable, resilient self-organization that integrates physical infrastructure, AI, and community ownership under transparent rules, on-chain incentives, and permissionless participation, aiming to preserve human autonomy.
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