Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).
Replay as Governance: Counterfactual Barrier Analysis of Six AI Failures AI治理文献正在产出越来越多的协议与框架,但没有一篇验证过这些制度在真实事故中能否拦住失败。本文提出制度回放方法(BRP):选取已公开的AI失败事件,还原其制度防线栈(每层标三态),画出失效链,然后注入制度构件(闸门/错误记忆/任期制/审计/分层防御),回答受限的反事实问题:若该构件在场能否拦截。对六起跨域事件做了回放:Air Canada/Mata v. Avianca/Tay/COMPAS/波音MCAS/武汉长江黑泥。30道防线中26道在场但失效或不在场(87%);出站闸门是横向迁移性最强的构件;防线叠加不等于防御。含制度构件与法规条文(EU AI Act Art.14 + 中国暂行办法 + 标识办法)对照表。 v1.1 更正:v1.0 此处原记「31道防线中19道失效或不在场」,与论文表4.1复算(30道防线、26道在场但失效或不在场、87%)不符,三个数字均无法由正文数据复算,本版已统一更正;另修正三态符号「在场但失效」在成品PDF中的字体缺字问题(原符号无字形,渲染为空白)。
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