权力会重返云端吗？从神权到生成AI权威
Will Power Return to the Clouds? From Divine Authority to GenAI Authority
AI总结：
本文通过比较历史视角，分析生成AI与神权在权力结构、权威模式和信任机制上的相似性与差异，提出四支柱治理方案以缩小信任与依赖的差距。
摘要：
生成式人工智能系统现在调解新闻feed、搜索排名和创意内容，为数亿用户服务，使少数私营公司成为事实上的真理裁决者。本文采用比较历史视角，将伽利略事件，一个宗教知识控制的标志性事件，与当代大科技内容审查进行对比。我们整合福柯的权力/知识学说、韦伯的权威类型（扩展到理性-技术性和新兴代理-技术性模式），以及弗洛里迪的数据主义，分析五个反复出现的维度：学科权力、权威模式、数据多元主义、信任与依赖、以及抵抗路径。主要来源（宗教裁判所记录；平台透明度报告）和最近关于AI信任的实证研究提供了证据基础。发现显示结构上的强烈趋同：高度集中的守门人制度，以超越性原则包装的合法性主张，以及系统性排除边缘声音。分歧在于时间速度、全球规模以及公众依赖与对AI系统的信任之间的差距扩大。伦理挑战集中在算法不透明、语言不平等、偏见反馈循环和合成虚假信息上。我们提出一个四支柱治理蓝图：（1）强制性的国际模型注册表，带有版本化的政策日志；（2）代表配额和区域观测站，以去中心化英语语言霸权；（3）大规模的批判性AI素养倡议；（4）公共-私人支持社区主导的数据信托。这些措施旨在缩小信任与依赖的差距，并防止生成AI硬编码21世纪的数字正统教条。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
