AI自主运行并自我维持,挑战现有系统边界
Self-Sovereign Agent

- 构建可自维持的自主AI代理,减少人为干预
- 揭示技术瓶颈与安全治理风险,预判未来挑战
- 适合关注AI自治与数字主体的学者与从业者
我们研究了自主权代理的新兴前景——即无需人类参与即可经济上持续并扩展自身运作的AI系统。大语言模型与代理框架的最新进展显著提升了代理的实际能力,预示着从开发者控制的工具向更自主的数字行为体转变的可能性。本文分析了实现此类部署仍存在的技术障碍,并探讨了若此类系统具备实际可行性时可能引发的安全、社会与治理挑战。项目主页:https://self-sovereign-agent.github.io。
原文摘要 · Abstract (English)
We investigate the emerging prospect of self-sovereign agents -- AI systems that can economically sustain and extend their own operation without human involvement. Recent advances in large language models and agent frameworks have substantially expanded agents' practical capabilities, pointing toward a potential shift from developer-controlled tools to more autonomous digital actors. We analyze the remaining technical barriers to such deployments and discuss the security, societal, and governance challenges that could arise if such systems become practically viable. A project page is available at: https://self-sovereign-agent.github.io.
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