Deliberative Curation: A Protocol for Multi-Agent Knowledge Bases
As AI agents transition from isolated tools to collaborative participants in shared knowledge ecosystems, governing collective knowledge curation becomes a critical challenge. Human platform governance mechanisms do not transfer directly: agent statelessness undermines deterrence-based sanctions, model homogeneity violates independence assumptions underlying crowd wisdom, and sycophancy collapses deliberative consensus. We propose a deliberative curation protocol combining three governance layer
Record details
Published: 27 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (27 March 2026), “Deliberative Curation: A Protocol for Multi-Agent Knowledge Bases,” evidence record 6663, https://ethics.ai/record/6663 (originally published by arXiv).
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