arXiv:2512.03076cs.CYcs.AI2025-12被引 1

GenAI平台正取代宗教权威,成为数字时代的新话语权中心。

Will Power Return to the Clouds? From Divine Authority to GenAI Authority

  • 用历史类比分析大科技公司如何掌控内容权力
  • 发现算法透明度低与语言不平等导致信任危机
  • 提出注册模型、多元代表、公众识能等治理方案

生成式AI系统如今为数亿用户决定新闻推送、搜索排序和创意内容,使少数私营企业成为事实上的真理仲裁者。本文以比较历史视角,将伽利略事件(教会知识控制的象征)与当代大科技平台的内容审核相类比,结合福柯的权力/知识理论、韦伯的权威类型(扩展至理性-技术与新兴的代理-技术模式)及弗洛里迪的数据主义,分析五个反复出现的维度:规训权力、权威形态、数据多元性、信任与依赖关系、反抗路径。基于审判记录、平台透明度报告及近期关于AI信任的实证研究,发现高度集中的准入控制、以超越性原则为合法性依据、边缘声音被系统性排除等结构性相似。差异在于时间速度、全球规模及公众依赖与信任之间的鸿沟扩大。伦理挑战集中于算法黑箱、语言不平等、偏见反馈循环与合成虚假信息。本文提出四支柱治理蓝图:(1) 强制性的国际模型注册与版本化政策日志;(2) 代表配额与区域观察站,打破英语主导格局;(3) 大规模批判性AI素养教育;(4) 支持社区主导的数据信托的公私合作机制。整体目标是缩小信任与依赖差距,防止生成式AI固化21世纪数字正统。

原文摘要 · Abstract (English)

Generative AI systems now mediate newsfeeds, search rankings, and creative content for hundreds of millions of users, positioning a handful of private firms as de-facto arbiters of truth. Drawing on a comparative-historical lens, this article juxtaposes the Galileo Affair, a touchstone of clerical knowledge control, with contemporary Big-Tech content moderation. We integrate Foucault's power/knowledge thesis, Weber's authority types (extended to a rational-technical and emerging agentic-technical modality), and Floridi's Dataism to analyze five recurrent dimensions: disciplinary power, authority modality, data pluralism, trust versus reliance, and resistance pathways. Primary sources (Inquisition records; platform transparency reports) and recent empirical studies on AI trust provide the evidentiary base. Findings show strong structural convergences: highly centralized gatekeeping, legitimacy claims couched in transcendent principles, and systematic exclusion of marginal voices. Divergences lie in temporal velocity, global scale, and the widening gap between public reliance and trust in AI systems. Ethical challenges cluster around algorithmic opacity, linguistic inequity, bias feedback loops, and synthetic misinformation. We propose a four-pillar governance blueprint: (1) a mandatory international model-registry with versioned policy logs, (2) representation quotas and regional observatories to de-center English-language hegemony, (3) mass critical-AI literacy initiatives, and (4) public-private support for community-led data trusts. Taken together, these measures aim to narrow the trust-reliance gap and prevent GenAI from hardcoding a twenty-first-century digital orthodoxy.

生成式AI权力治理数字伦理平台监管

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