用基层契约应对平台 AI 风险： accountable 智能体与内容溯源方案
Corralling AI Risks with Grassroots Contracts
几个学者把 Proudhon 两百年前的契约概念搬进社交网络，做了能用的手机 App，专门管住匿名 AI 智能体和 deepfake，思路挺新颖。
一篇 arXiv 论文针对数字平台的三类 AI 风险提出解决思路：AI 控制全球平台、匿名 AI 智能体伪装人类运作、匿名生成的 deepfake 无法追责。作者借鉴 Pierre-Joseph Proudhon 约 200 年前的契约概念，设计了两种 grassroots contracts：带可问责 AI 智能体的社交图谱，以及带数字溯源的社交网络。论文还提供了实现这两种契约的智能手机应用 demo，演示如何分别对应遏制三类风险。
Corralling AI Risks with Grassroots Contracts
AI's inflection point is a fountain of alarming risks. Digital platforms in particular are vulnerable to three major AI risks, as those in control of global platforms cede control to AI, of the algorithms, of membership and of content: (1) AI control of global platforms, social and economic, used by the majority of humanity, resulting in the majority of humanity becoming vulnerable to AI control. (2) Unaccountable AI agents operating anonymously on social and economic digital platforms, side-by-side with humans, possibly masquerading as humans, serving unknown masters with unknown goals, operating under unknown restraints without accountability or culpability. (3) Unattributed deepfakes generated by anonymous AI, with people unable to distinguish them from genuine content and with their producers evading accountability and culpability. Here, we propose to corral these AI risks with grassroots contracts, a digital incarnation of a two-centuries old notion of Pierre-Joseph Proudhon. We present grassroots contracts for a social graph with accountable AI agents and for a social network with digital provenance, and working smartphone apps that implement the two and show how they corral these major AI risks: (1) AI control of global platforms. (2) Unaccountable AI agents. (3) Unattributed deepfakes.
