Papers

Avatar Intelligence 提出持久个人智能体新范式与 AOI 评估框架

Avatar Intelligence: Amplifying Human Agency Through Persistent Personal Agents

Why we picked it

一群研究者提出让个人智能体长期替你做决定,还配套了 AOI 指标来算监督成本,做 Agent 方向的可以看看这套评估思路。

arXiv 论文 2611.03092 提出 Avatar Intelligence 范式,主张用持续决策委托构建代表用户目标与价值观的持久个人智能体。作者设计了从人工主导执行到受托领域自主运行的成熟度路线图,并提出 Agentic Oversight Index(AOI)框架,用于衡量交付价值与智能体运营成本、人类监督负担的关系。论文还列出三大研究挑战:跨任务的身份连续个性化、基于 Rehearsal Engineering 的用户情境演化,以及结合技术控制与问责追索的安全机制。

Original · arXiv cs.AI

Avatar Intelligence: Amplifying Human Agency Through Persistent Personal Agents

Personal AI agents are increasingly capable of handling long-horizon tasks across applications, yet users often need to invest substantial effort in specifying goals, resolving ambiguity, and verifying outcomes. We argue that progress should be measured by how effectively agents amplify human agency: enabling people to pursue their goals with less routine supervision while retaining control over consequential decisions. We advocate Avatar Intelligence, a paradigm of persistent personal agents that represent users' goals, values, and constraints through sustained decision delegation across contexts and time. We describe a maturity roadmap from human-directed execution to autonomous operation within delegated domains, and introduce the Agentic Oversight Index (AOI) as a framework for evaluating delivered value against agent-side operational cost and human oversight burden. We identify three core research challenges: identity-continuous personalization that carries user preferences across tasks, user-situated evolution through Rehearsal Engineering, and safety mechanisms that combine technical control with accountability and recourse. These directions define a research agenda for reliable decision delegation to personal agents across tasks and over time.