生成人工智能,版权和人工智能法案

IF 3.3 3区 社会学 Q1 LAW
João Pedro Quintais
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引用次数: 0

摘要

本文对《人工智能法案》(AI)对欧盟(EU)版权收购的影响进行了批判性分析,旨在澄清人工智能监管与版权法之间的复杂关系,同时确定可能影响未来政策制定的法律模糊和空白领域。讨论首先概述了与生成式人工智能相关的基本版权问题,重点关注在输入、模型和输出阶段出现的问题,以及这些问题如何与数字单一市场指令(CDSMD)版权下的文本和数据挖掘(TDM)例外相交。然后,本文探讨了人工智能法案的结构和与版权法相关的关键定义。核心分析涉及《人工智能法案》对版权的影响,包括TDM在人工智能模型培训中的作用、该法案规定的版权义务、尊重版权法的要求——尤其是TDM选择退出——以及这些条款的域外影响。它还审查了透明度义务、合规机制和执行框架。这篇论文进一步批评了现行制度的不足之处,特别是在创作者的公平报酬方面,并评估了集体许可和谈判等潜在的改进。报告还评估了立法改革建议,如法定许可和人工智能产出税,并总结了将人工智能治理与版权保护相结合的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generative AI, copyright and the AI Act
This paper provides a critical analysis of the Artificial Intelligence (AI) Act's implications for the European Union (EU) copyright acquis, aiming to clarify the complex relationship between AI regulation and copyright law while identifying areas of legal ambiguity and gaps that may influence future policymaking. The discussion begins with an overview of fundamental copyright concerns related to generative AI, focusing on issues that arise during the input, model, and output stages, and how these concerns intersect with the text and data mining (TDM) exceptions under the Copyright in the Digital Single Market Directive (CDSMD).
The paper then explores the AI Act's structure and key definitions relevant to copyright law. The core analysis addresses the AI Act's impact on copyright, including the role of TDM in AI model training, the copyright obligations imposed by the Act, requirements for respecting copyright law—particularly TDM opt-outs—and the extraterritorial implications of these provisions. It also examines transparency obligations, compliance mechanisms, and the enforcement framework. The paper further critiques the current regime's inadequacies, particularly concerning the fair remuneration of creators, and evaluates potential improvements such as collective licensing and bargaining. It also assesses legislative reform proposals, such as statutory licensing and AI output levies, and concludes with reflections on future directions for integrating AI governance with copyright protection.
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来源期刊
CiteScore
5.60
自引率
10.30%
发文量
81
审稿时长
67 days
期刊介绍: CLSR publishes refereed academic and practitioner papers on topics such as Web 2.0, IT security, Identity management, ID cards, RFID, interference with privacy, Internet law, telecoms regulation, online broadcasting, intellectual property, software law, e-commerce, outsourcing, data protection, EU policy, freedom of information, computer security and many other topics. In addition it provides a regular update on European Union developments, national news from more than 20 jurisdictions in both Europe and the Pacific Rim. It is looking for papers within the subject area that display good quality legal analysis and new lines of legal thought or policy development that go beyond mere description of the subject area, however accurate that may be.
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