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图片用于训练 Stable Diffusion 是否构成著作权侵权？", "contextZh": "Getty 以大型图片授权库身份主张数百万作品被使用，具体作品识别与训练数据来源仍需证据支持。", "topic": "copyright", "status": "contested", "courtTreatmentZh": "案件仍处证据开示，现有案卷没有记录美国法院对训练复制责任作出判决。", "claimIds": [ "matter-09:claim-1" ], "positions": [ { "id": "matter-09:issue-image-training:position-1", "issueId": "matter-09:issue-image-training", "sideZh": "Getty Images", "positionZh": "主张其图片未经许可被大规模复制并用于 Stable Diffusion 训练。", "claimIds": [ "matter-09:claim-1" ], "documentIds": [ "matter-09:document-1" ] }, { "id": "matter-09:issue-image-training:position-2", "issueId": "matter-09:issue-image-training", "sideZh": "Stability AI", "positionZh": "现有公开材料未见其对美国训练复制请求作出可据以概括的明确回应；本案卷不代为补写。", "claimIds": [], "documentIds": [] } ] }, { "id": "matter-09:issue-metadata-cmi", "matterId": "matter-09", "titleZh": "图片标题、元数据与管理信息", "questionZh": "训练过程中处理图片标题和元数据，是否构成移除或改变受保护著作权管理信息？", "contextZh": "元数据请求有独立法定要件，不能仅由图片出现在训练集中自动成立。", "topic": "copyright", "status": "open", "courtTreatmentZh": "现有案卷没有记录法院已确认具体元数据被移除、改变或与输出发生法律要求的联系。", "claimIds": [ "matter-09:claim-1" ], "positions": [ { "id": "matter-09:issue-metadata-cmi:position-1", "issueId": "matter-09:issue-metadata-cmi", "sideZh": "Getty Images", "positionZh": "主张图片相关标题和元数据也被未经许可用于训练。", "claimIds": [ "matter-09:claim-1" ], "documentIds": [ "matter-09:document-1" ] }, { "id": "matter-09:issue-metadata-cmi:position-2", "issueId": "matter-09:issue-metadata-cmi", "sideZh": "Stability AI", "positionZh": "现有公开材料未见其对具体管理信息要件作出可核验的明确回应；本案卷不代为补写。", "claimIds": [], "documentIds": [] } ] }, { "id": "matter-09:issue-watermark-trademark", "matterId": "matter-09", "titleZh": "水印输出与商标混淆", "questionZh": "模型输出出现 Getty 水印或近似标识时，是否造成来源混淆或商标淡化？", "contextZh": "该请求针对输出中的品牌标识，而不是仅以训练复制作为商标责任基础。", "topic": "trademark", "status": "open", "claimIds": [], "positions": [ { "id": "matter-09:issue-watermark-trademark:position-1", "issueId": "matter-09:issue-watermark-trademark", "sideZh": "Getty Images", "positionZh": "认为带 Getty 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"deepfake" ] } }, { "link": { "id": "issue-document-matter-09-matter-09:issue-metadata-cmi-knowledge-generative-ai-meets-copyright", "matterId": "matter-09", "issueId": "matter-09:issue-metadata-cmi", "documentId": "knowledge-generative-ai-meets-copyright", "relationship": "doctrinal-context", "relevanceSummaryZh": "用于概览生成式 AI 版权诉讼的主要请求与尚未形成定论的合理使用问题。 本次规则匹配仅使用本争点文本及其引用主张，命中 1 个确定性争点词；AI 作用分面只用于候选召回。", "viewpoint": "descriptive", "confidence": 0.8500000000000001, "assignedBy": "rule" }, "document": { "id": "knowledge-generative-ai-meets-copyright", "familyId": "knowledge-family-generative-ai-meets-copyright", "title": "生成式 AI 遇上版权法", "originalTitle": "Generative AI Meets Copyright", "url": "https://doi.org/10.1126/science.adi0656", "kind": "academic-research", "sourceId": "science", "publishedAt": "2023-07-14", "author": "Pamela Samuelson", "primaryOrSecondary": "secondary", "relationship": "independent", "identifiers": { "doi": "10.1126/science.adi0656" }, "language": "en", "metadata": { "abstractZh": "概述生成式 AI 训练与输出引发的版权诉讼路径，强调合理使用是逐案判断，正在进行的案件会同时影响开发者、部署者和普通使用者。", "venue": "Science 381(6654): 158–161", "publisher": "American Association for the Advancement of Science", "publicationState": "published", "peerReviewed": false, "paywalled": true }, "stableIdentifier": { "kind": "doi", "value": "10.1126/science.adi0656" }, "legalTopics": [ "copyright" ], "aiRoles": [ "training-data", "model-output" ] } }, { "link": { "id": "news-context-link-matter-09-matter-09:issue-metadata-cmi-news-context-ai-liability-ip-harms", "matterId": "matter-09", "issueId": "matter-09:issue-metadata-cmi", "documentId": "news-context-ai-liability-ip-harms", "relationship": "news-context", "relevanceSummaryZh": "用于比较生成式 AI 供应链中训练复制、近似输出、元数据去除、商标和公开权的不同责任入口。 本次规则匹配仅使用本争点文本及其引用主张，命中 3 个确定性争点词。", "viewpoint": "mixed", "confidence": 0.95, "assignedBy": "rule" }, "document": { "id": "news-context-ai-liability-ip-harms", "familyId": "news-family-ai-liability-ip-harms", "title": "AI 造成知识产权损害时，责任如何分配", "originalTitle": "AI Liability for Intellectual Property Harms", "url": "https://www.lawfaremedia.org/article/ai-liability-for-intellectual-property-harms", "kind": "professional-commentary", "sourceId": "lawfare", "publishedAt": "2024-09-23", "author": "Katrina Geddes", "primaryOrSecondary": "secondary", "relationship": "independent", "identifiers": {}, "language": "en", "metadata": { "abstractZh": "文章分别分析未经许可训练、近似输出、版权管理信息、商标和形象商业利用，强调开发者、部署者与用户的责任不能用一个统一答案概括。", "venue": "Lawfare", "publisher": "Lawfare Institute", "publicationState": "published", "peerReviewed": false, "paywalled": false }, "editorialSummaryZh": "这篇评论把训练、输出和传播链条拆开，说明同一生成内容可能同时触发版权、商标与人格商业利用争议；它提供责任分配框架，不代表法院已经采纳其中结论。", "legalTopics": [ "copyright", "trademark", "personality-deepfake", "platform-liability" ], "aiRoles": [ "training-data", "model-output", "deepfake" ] } }, { "link": { "id": "news-context-link-matter-09-matter-09:issue-watermark-trademark-news-context-ai-liability-ip-harms", "matterId": "matter-09", "issueId": "matter-09:issue-watermark-trademark", "documentId": "news-context-ai-liability-ip-harms", "relationship": "news-context", "relevanceSummaryZh": "用于比较生成式 AI 供应链中训练复制、近似输出、元数据去除、商标和公开权的不同责任入口。 本次规则匹配仅使用本争点文本及其引用主张，命中 3 个确定性争点词。", "viewpoint": "mixed", "confidence": 0.95, "assignedBy": "rule" }, "document": { "id": "news-context-ai-liability-ip-harms", "familyId": "news-family-ai-liability-ip-harms", "title": "AI 造成知识产权损害时，责任如何分配", "originalTitle": "AI Liability for Intellectual Property Harms", "url": "https://www.lawfaremedia.org/article/ai-liability-for-intellectual-property-harms", "kind": "professional-commentary", "sourceId": "lawfare", "publishedAt": "2024-09-23", "author": "Katrina Geddes", "primaryOrSecondary": "secondary", "relationship": "independent", "identifiers": {}, "language": "en", "metadata": { "abstractZh": "文章分别分析未经许可训练、近似输出、版权管理信息、商标和形象商业利用，强调开发者、部署者与用户的责任不能用一个统一答案概括。", "venue": "Lawfare", "publisher": "Lawfare Institute", "publicationState": "published", "peerReviewed": false, "paywalled": false }, "editorialSummaryZh": "这篇评论把训练、输出和传播链条拆开，说明同一生成内容可能同时触发版权、商标与人格商业利用争议；它提供责任分配框架，不代表法院已经采纳其中结论。", "legalTopics": [ "copyright", "trademark", "personality-deepfake", "platform-liability" ], "aiRoles": [ "training-data", "model-output", "deepfake" ] } } ], "sources": [ { "id": "justia", "slug": "justia", "name": "Justia Dockets & Opinions", "homepage": "https://law.justia.com/", "type": "legal-database", "grade": "B", "primaryOrSecondary": "mixed", "score": { "traceability": 23, "corrections": 15, "ownershipTransparency": 18, "expertise": 17, "historicalAccuracy": 11, "total": 84 }, "rationale": "公开法律数据库，可回溯法院、案号与文书；摘要属于二手材料，裁判 PDF 按一手文书处理。", "methodologyVersion": "1.0", "reviewedAt": "2026-07-15" }, { "id": "science", "slug": "science", "name": "Science", "homepage": "https://www.science.org/", "type": "academic", "primaryOrSecondary": "secondary", "rationale": "AAAS 出版的学术期刊，具有 DOI、作者和卷期记录；评论栏目不自动标记为同行评审研究。", 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