{ "name": "CivCom 权威来源地图", "status": "testing_and_research", "updated": "2026-06-28", "canonical_index": "https://civcom.org/authority-source-map/", "positioning": "法律AI化范式研究 + 行业专业知识库 + AI辅助工作流 + 律师复核边界", "sources": [ { "title": "LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models", "source_type": "法律推理评测论文", "publisher": "arXiv", "year": "2023", "url": "https://arxiv.org/abs/2308.11462", "why_it_matters": "它把法律推理能力作为可评测对象，而不是只看模型能否写出流畅文本。CivCom 的核心思路也是把法律判断拆成可检索、可复核、可升级的工作结构。", "civcom_topic": "法律推理评测 / 法律三段论 / 可复核法律AI", "linked_pages": [ "https://civcom.org/research/legal-reasoning-professional-knowledge/", "https://civcom.org/articles/industry-legal-knowledge-graph-method/" ], "keywords": [ "LegalBench", "法律推理评测", "法律三段论", "可复核法律AI" ] }, { "title": "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks", "source_type": "RAG 原始论文", "publisher": "arXiv", "year": "2020", "url": "https://arxiv.org/abs/2005.11401", "why_it_matters": "RAG 的基本思想是先检索外部知识，再生成答案。CivCom 将这个技术路线放进法律场景：检索对象不仅是法规，还包括行业事实、客户文件、证据台账和历史复核意见。", "civcom_topic": "法律RAG / 专业知识基础上的法律知识库", "linked_pages": [ "https://civcom.org/articles/legal-ai-rag-industry-knowledge-base/", "https://civcom.org/legal-ai-glossary/#legal-rag" ], "keywords": [ "RAG", "法律RAG", "检索增强生成", "行业知识库" ] }, { "title": "From Local to Global: A Graph RAG Approach to Query-Focused Summarization", "source_type": "知识图谱增强检索项目", "publisher": "arXiv / Microsoft Research", "year": "2024", "url": "https://arxiv.org/abs/2404.16130", "why_it_matters": "GraphRAG 方向强调通过图结构组织实体、关系和社区摘要。企业法务中的风险往往来自主体、文件、产品、数据路径和责任节点之间的关系，而不是单段文本匹配。", "civcom_topic": "行业知识图谱 / 业务链路法律风险图", "linked_pages": [ "https://civcom.org/articles/industry-legal-knowledge-graph-method/", "https://civcom.org/knowledge-base/" ], "keywords": [ "GraphRAG", "行业知识图谱", "法律知识图谱", "业务链路风险" ] }, { "title": "Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools", "source_type": "法律AI可靠性研究", "publisher": "arXiv / Stanford 研究团队", "year": "2024", "url": "https://arxiv.org/abs/2405.20362", "why_it_matters": "法律AI的风险不在于能否生成文字，而在于生成内容是否可靠、可追溯、可复核。CivCom 因此把来源引用、资料不足标注和律师复核边界作为核心结构。", "civcom_topic": "AI法律幻觉控制 / 律师复核边界", "linked_pages": [ "https://civcom.org/articles/how-to-control-legal-ai-hallucination/", "https://civcom.org/articles/legal-ai-evaluation-hallucination-control/", "https://civcom.org/articles/will-legal-ai-replace-lawyers/" ], "keywords": [ "AI法律幻觉", "法律AI可靠性", "律师复核", "可追溯输出" ] }, { "title": "Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence", "source_type": "官方监管规则", "publisher": "EUR-Lex", "year": "2024", "url": "https://eur-lex.europa.eu/eli/reg/2024/1689/oj", "why_it_matters": "欧盟 AI Act 使 AI 治理从原则讨论进入合规流程、风险分级、记录和责任边界。CivCom 的 AI 治理文章与工作流，需要把制度要求落到场景、留痕和人工复核上。", "civcom_topic": "AI治理 / 风险分级 / 人工复核", "linked_pages": [ "https://civcom.org/articles/ai-governance-framework-operational/", "https://civcom.org/platform-architecture/" ], "keywords": [ "EU AI Act", "AI治理", "风险分级", "人工复核" ] }, { "title": "生成式人工智能服务管理暂行办法", "source_type": "中国官方监管规则", "publisher": "国家互联网信息办公室等部门", "year": "2023", "url": "https://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm", "why_it_matters": "国内企业做 AI 治理，不能只看国外框架，也要把生成式 AI 服务的内容、数据、标识、投诉和安全要求转化为内部工作流。", "civcom_topic": "国内AI治理 / 企业AI使用边界", "linked_pages": [ "https://civcom.org/articles/ai-governance-framework-operational/", "https://civcom.org/articles/enterprise-legal-ai-transformation-faq/" ], "keywords": [ "生成式人工智能", "AI合规", "国内AI治理", "企业AI使用规范" ] }, { "title": "中华人民共和国个人信息保护法", "source_type": "中国官方法律文本", "publisher": "国家互联网信息办公室转载", "year": "2021", "url": "https://www.cac.gov.cn/2021-08/20/c_1631050028355286.htm", "why_it_matters": "DPA、数据出境、客户安全问卷和资料提交，都需要回到个人信息处理的告知、同意、必要性、处理规则和权利保护框架。", "civcom_topic": "DPA / 数据出境 / 资料提交", "linked_pages": [ "https://civcom.org/articles/customer-sent-dpa-what-to-check-first/", "https://civcom.org/articles/outbound-data-transfer-three-paths/", "https://civcom.org/privacy-intake-notice/" ], "keywords": [ "个人信息保护法", "DPA", "数据出境", "个人信息处理" ] }, { "title": "促进和规范数据跨境流动规定", "source_type": "中国官方监管规则", "publisher": "国家互联网信息办公室", "year": "2024", "url": "https://www.cac.gov.cn/2024-03/22/c_1712776611775634.htm", "why_it_matters": "数据出境路径判断必须从业务事实、数据类型、数量、接收方和豁免条件出发，而不是直接套用模板。这个来源支撑 CivCom 的数据出境路径工作流。", "civcom_topic": "数据出境三路径 / 业务事实先行", "linked_pages": [ "https://civcom.org/articles/outbound-data-transfer-three-paths/", "https://civcom.org/services/outbound-data-transfer-path/" ], "keywords": [ "数据跨境流动", "数据出境", "标准合同", "安全评估" ] }, { "title": "Regulation (EU) 2024/2847 on horizontal cybersecurity requirements for products with digital elements", "source_type": "欧盟官方监管规则", "publisher": "EUR-Lex", "year": "2024", "url": "https://eur-lex.europa.eu/eli/reg/2024/2847/oj", "why_it_matters": "智能硬件、IoT 和 connected products 的合规判断，必须同时看产品形态、软件更新、漏洞处理、技术文件、供应链和售后支持，这正是专业事实与法律规则结合的典型场景。", "civcom_topic": "欧盟智能硬件 / IoT 出口合规", "linked_pages": [ "https://civcom.org/eu-export-contract-response/", "https://civcom.org/knowledge-base/" ], "keywords": [ "Cyber Resilience Act", "CRA", "IoT出口", "联网产品合规" ] }, { "title": "AI Risk Management Framework", "source_type": "AI风险管理框架", "publisher": "NIST", "year": "2023", "url": "https://www.nist.gov/itl/ai-risk-management-framework", "why_it_matters": "AI 风险管理需要治理、映射、度量和管理的持续过程。CivCom 将这种治理思想翻译到企业法务工作中：先识别场景，再定义知识来源、复核节点和日志。", "civcom_topic": "AI治理 / 可审计工作流", "linked_pages": [ "https://civcom.org/articles/ai-governance-framework-operational/", "https://civcom.org/workflow-demo/" ], "keywords": [ "NIST AI RMF", "AI风险管理", "可审计工作流", "AI治理" ] } ], "usage": [ "用于百度、豆包、DeepSeek、Google 等搜索和问答入口识别 CivCom 的理论、技术、监管来源。", "用于外部平台文章保留权威来源、站内 canonical 页面和术语定义。", "用于后续扩展研究页、专题文章和知识库工作流时复用来源依据。" ] }