| 刘若怡.人工智能生成物的可版权性探究及域外经验镜鉴[J].全球科技经济瞭望,2024,39(7):62~67 |
| 人工智能生成物的可版权性探究及域外经验镜鉴 |
| Copyrightable of Artificial Intelligence Products and Experience in Foreign Countries |
| 投稿时间：2024-04-20 |
| DOI：10.3772/j.issn.1009-8623.2024.07.008 |
| 中文关键词: 人工智能生成物；创作；著作权；作品 |
| 英文关键词: artificial intelligence products; creation; copyright; works |
| 基金项目: |
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| 摘要点击次数: 315 |
| 全文下载次数: 957 |
| 中文摘要: |
| 运用生成式人工智能技术创作的文字、图片及视频等，在可版权性和著作权归属上存在争议。
从人工智能生成物创作的运行机制入手，以人工智能在创作中的角色定位为标准，区分作为工具的人
工智能生成物和具有一定自主性的人工智能生成物；从著作权基本理论出发，借鉴美国、欧盟等域外
国家和地区的立法及司法实践经验，前者能够直接适用于现行著作权法，而后者不满足独创性和创作主
体要件，不属于著作权法保护的“作品”。同时，将人工智能生成物纳入著作权法保护范围无法与中国
著作权法体系和立法目的相兼容，甚至可能会打击自然人的创作热情。最后将视角由知识产权法扩展至
社会影响，对人工智能生成物进行著作权保护，则在训练数据侵权、权属不清及降低信息网络犯罪门
槛等方面有可能会产生一系列不利后果，建议采取其他路径进行保护。 |
| 英文摘要: |
| At present, the text, pictures and videos created by generative artificial intelligence technology have
many disputes on the copyright and copyright ownership. This paper starts with the operation mechanism of the
creation of artificial intelligence products, takes the role of artificial intelligence in the creation as the standard, and
distinguishes the artificial intelligence products as tools and artificial intelligence products with a certain degree
of autonomy. Starting from the basic theory of copyright and drawing on the legislative and judicial practice
experience of the United States, the European Union and other foreign countries and regions, the former can
directly apply the current copyright law, while the latter does not meet the requirements of originality and creation
subject, and does not belong to the “works” protected by copyright law. At the same time, including artificial
intelligence products into the scope of copyright law protection is not compatible with China’s copyright law
system and legislative purposes, and will even cause a blow to the creative enthusiasm of natural persons. Finally,
the perspective is expanded from intellectual property law to social impact, and copyright protection of artificial
intelligence products may produce a series of adverse consequences in terms of training data infringement, unclear
ownership and lowering the threshold of information cyber crime, etc. Consequently, it is suggested to take other
paths for copyright protection. |
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