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欧洲议会:2025生成式人工智能与版权报告:训练、创作、监管(中译版)(175页).pdf

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1、 Generative AI and Copyright Training,Creation,Regulation Policy Department for Justice,Civil Liberties and Institutional Affairs Directorate-General for Citizens Rights,Justice and Institutional Affairs PE 774.095-July 2025 EN STUDY Requested by the JURI Committee Abstract This study examines how g

2、enerative AI challenges core principles of EU copyright law.It highlights the legal mismatch between AI training practices and current text and data mining exceptions,and the uncertain status of AI-generated content.These developments pose structural risks for the future of creativity in Europe,wher

3、e a rich and diverse cultural heritage depends on the continued protection and fair remuneration of authors.The report calls for clear rules on input/output distinctions,harmonised opt-out mechanisms,transparency obligations,and equitable licensing models.To balance innovation and authors rights,the

4、 European Parliament is expected to lead reforms that reflect the evolving realities of creativity,authorship,and machine-generated expression.This study was commissioned by the European Parliaments Policy Department for Justice,Civil Liberties and Institutional Affairs at the request of the Committ

5、ee on Legal Affairs.Generative AI and Copyright Training,Creation,Regulation This document was requested by the European Parliaments Committee on Legal Affairs.AUTHOR Nicola LUCCHI,PhD-Serra Hunter Professor of Comparative Law,University Pompeu Fabra,Barcelona,Spain ADMINISTRATOR RESPONSIBLE Mariusz

6、 MACIEJEWSKI EDITORIAL ASSISTANTS Ivona KLECAN,Anne DE CONINCK LINGUISTIC VERSIONS Original:EN ABOUT THE EDITOR Policy departments provide in-house and external expertise to support EP committees and other parliamentary bodies in shaping legislation and exercising democratic scrutiny over EU interna

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根据《Generative AI and Copyright》报告,以下为全文关键点: 1. **生成式AI对版权法的挑战**:生成式AI训练使用大量版权内容,现有版权法框架难以适应其规模和特性。 2. **输入端问题**:现有TDM例外条款不足以应对生成式AI训练需求,且现有“退出机制”不适用于大规模数据挖掘。 3. **输出端问题**:AI生成内容版权归属不明确,需制定新的保护标准。 4. **价值差距**:AI训练产生的经济利益未与创作者分享,需建立法定赔偿机制。 5. **治理与执法**:版权与AI治理结构分散,需加强协调和统一标准。 6. **政策建议**:建议制定明确规则、加强执法、设计合理法律工具,以应对生成式AI带来的挑战。
"AI创作,版权谁属?" "AI时代,版权如何平衡创新与权益?" "AI训练,版权例外如何适用?"
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