Adversarial Social Epistemology for Assemblies of Humans and Large Language Models
Adversarial Social Epistemology for Assemblies of Humans and Large Language Models
人类与大型语言模型集合的对抗性社会认识论
Abstract: We outline an adversarial social epistemology (ASE) for densely interactive communicative landscapes in which public assertions are scaffolded by chains of testimony, inference, institutional certification, and tacit trust.
摘要： 我们概述了一种用于高密度交互式交流环境的对抗性社会认识论（ASE）。在这种环境中，公共断言由证言链、推理、机构认证和默示信任所支撑。
In such landscapes, agents have incentives and affordances to distort, color, omit, fabricate, or strategically under-specify information for private, reputational, rhetorical, or material gains.
在这样的环境中，代理人（agents）为了获取私人利益、声誉、修辞优势或物质收益，具有扭曲、润色、遗漏、捏造或策略性地模糊信息的动机与能力。
We argue that these phenomena are not adequately captured by familiar descriptions of epistemic bubbles, echo chambers, or misinformation diffusion.
我们认为，现有的关于认知泡沫、回声室或错误信息传播的描述，并不能充分涵盖这些现象。
What requires explanation is how communicative agents exploit the commitments and entitlements that normally make scaffolded assertions trustworthy.
我们需要解释的是，交流代理人是如何利用那些通常使支撑性断言变得可信的“承诺”与“权利”的。
We provide language that delivers the requisite analysis, outline mechanisms that subvert trust in scaffolded public communications, and outline machinery for auditing and redressing trust breaches arising from subverting the auditability of inferential chains, drawing on epistemic networks, enriched with an inferentialist semantics for interpreting assertions.
我们提供了一套能够进行必要分析的语言，概述了破坏支撑性公共交流中信任的机制，并提出了审计和纠正因破坏推理链可审计性而导致的信任违约的机制。该研究借鉴了认知网络，并结合了用于解释断言的推理主义语义学。
Paper Details:
- Authors: Mihnea C. Moldoveanu, Joel A.C. Baum
- arXiv ID: 2607.07760
- Date: 8 Jul 2026
论文详情：
- 作者： Mihnea C. Moldoveanu, Joel A.C. Baum
- arXiv ID: 2607.07760
- 日期： 2026年7月8日