{ "generated": "2026-11-02", "node": { "id": "map:ai-governance", "type": "Map", "name": "AI 治理与问责", "slug": "ai-governance", "map_kind": "structure", "page": "/graph/e/map/ai-governance/", "h1": "AI 治理与问责", "scope": "这张图追的不是\"哪个国家又出了一份AI监管草案\"，而是当AI公司做错事、说错话、或者干脆被起诉时，真正能落到实处的问责机制是什么——法院判例、监管机构表态、诉讼案由、政府采购审查、行业自律工具，各自的约束力天差地别。范围：国际监管框架 → 立法与金融监管机构表态 → 版权与训练数据诉讼 → 政府采购与国家安全问责 → 司法系统AI使用问责 → 行业自律与安全机制。每条都标注证据强度（官方确认/媒体转述/未证实传闻），数字类声明尽量核对到一手信源。", "methodology": "入选门槛——判例/监管文件/官方公告优先采信一手信源（法院判决书、政府官网、公司自己的新闻稿）；媒体转述的引语明确标注（灰色 conflow 标记）为\"未直接核实一手文本\"，不与已确认事实混同。这一层信息更新速度不像算力/芯片那么快，但准确性要求更高——一条引语归属错误可能直接构成对某个真实机构/个人的失实陈述，建议保持至少月度复核频率，判决/裁决类条目发现新进展应随时更新。", "overview": "六层大致按\"谁定规则 → 谁公开表态 → 谁去打官司 → 谁管政府自己怎么用 → 谁管法院怎么用 → 行业自己怎么管自己\"排布；前两层是\"规则/表态\"层，中间两层是\"真金白银的问责\"层，第五层是\"使用者问责\"，第六层横向补位，不在链条末端。", "overview_caption": "前两层定规则/发表态，中间两层是真正有代价的问责，第五层管使用者自己，第六层是行业自己搭的安全网", "badges": [ "最后更新 2026-09-04", "当前版本 v1", "下次复核 ~2026-10" ], "version": 1, "first_published": "2026-09-04", "last_updated": "2026-09-04", "next_review": "~2026-10", "summary": "AI治理与问责的持续更新结构图：从国际监管框架、立法与金融监管机构表态，到版权训练数据诉讼、政府采购与国家安全问责、司法系统AI使用问责，再到行业自律与安全机制——当AI公司做错事时，真正能落地的问责渠道是什么，各自的证据强度和约束力有多大。", "tags": [ "landscape", "governance", "regulation", "litigation", "accountability", "legal" ], "version_log": [ { "v": 1, "date": "2026-09-04", "summary": "首次建立：覆盖6层（国际监管框架/立法金融监管表态/版权训练数据诉讼/政府采购国安问责/司法系统AI使用问责/行业自律安全机制），基于3路并行研究汇总，共42个玩家条目。触发原因：EP.101故事线B的内容不适合塞进已有的《Agent安全攻击面》图谱（那张图专注技术攻击面），补一张专管法律/监管/问责的图谱。" } ], "changelog": [ { "date": "2026-09-04", "version": "v1", "text": "首次建立：覆盖6层（国际监管框架/立法金融监管表态/版权训练数据诉讼/政府采购国安问责/司法系统AI使用问责/行业自律安全机制），基于3路并行研究汇总，共42个玩家条目，每条尽量交叉核实至少一个一手信源。触发原因：EP.101故事线B的内容（AI安全从声明走向机制）不适合塞进已有的《Agent安全攻击面》图谱——那张图专注技术攻击面，这里补一张专管法律/监管/问责的图谱。" } ], "tech_legend": {}, "n_layers": 6, "n_rows": 47, "degree": 0 }, "page": "https://xiaopingfeng.com/graph/e/map/ai-governance/", "out": [], "in": [ { "type": "in_map", "sentence": "国际监管框架属于图谱「AI 治理与问责」", "direction": "in", "id": 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"name": "版权诉讼里，\"过程曝光\"正在变得比\"最终判决\"更快构成实质压力。", "status": "derived", "evidence": [ { "kind": "own", "label": "本站页面", "text": "Landscape「AI 治理与问责」的「最近的关键变化」第 1 条", "url": "https://xiaopingfeng.com/graph/e/map/ai-governance/#trends" } ] }, { "type": "in_map", "sentence": "同一批法官对\"训练是否构成合理使用\"给出了方向相反的判决，这个核心法律问题还没收敛。属于图谱「AI 治理与问责」", "direction": "in", "id": "trend:ai-governance--2", "name": "同一批法官对\"训练是否构成合理使用\"给出了方向相反的判决，这个核心法律问题还没收敛。", "status": "derived", "evidence": [ { "kind": "own", "label": "本站页面", "text": "Landscape「AI 治理与问责」的「最近的关键变化」第 2 条", "url": "https://xiaopingfeng.com/graph/e/map/ai-governance/#trends" } ] }, { "type": "in_map", "sentence": "金融监管机构第一次开始\"点名\"具体前沿模型谈系统性风险，不再只是泛泛警告。属于图谱「AI 治理与问责」", "direction": "in", "id": "trend:ai-governance--3", "name": "金融监管机构第一次开始\"点名\"具体前沿模型谈系统性风险，不再只是泛泛警告。", "status": "derived", "evidence": [ { "kind": "own", "label": "本站页面", "text": "Landscape「AI 治理与问责」的「最近的关键变化」第 3 条", "url": 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