用基层契约约束 AI 风险：arXiv 新论文提出可问责智能体与内容溯源方案

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Abstract: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.

Subjects:	Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Distributed, Parallel, and Cluster Computing (cs.DC); Multiagent Systems (cs.MA)
Cite as:	arXiv:2611.06374 [cs.AI]
	(or arXiv:2611.06374v1 [cs.AI] for this version)
	https://doi.org/10.48550/arXiv.2611.06374 arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Ehud Shapiro [view email]
[v1] Wed, 4 Nov 2026 11:34:17 UTC (1,931 KB)