搜索文章:
期刊:
主题:

生成式AI对创意产业版权体系的冲击与重构

The Impact and Reconstruction of Generative AI on the Copyright System of the Creative Industry


作者:陈宇涛,刘鸿,刘子健*
 山东工商学院 山东 烟台
*通信作者:刘子健;单位:山东工商学院 山东 烟台
数字经济与管理, 2024, 2(2), 0-0;
课题资助:自筹经费,无利益冲突需要说明
引用本文
摘 要:
随着人工智能技术的飞速发展,生成式AI作为一种新兴技术,在创意产业中的应用越来越广泛。本研究旨在探讨生成式AI对现有创意产业版权体系的冲击以及可能引发的版权体系重构。通过采用文献分析和案例研究方法,本文首先解析了生成式AI在文学创作、音乐制作、视觉艺术等领域的应用现状,并探讨了其对原创性、作者权利和版权归属的影响。研究发现,生成式AI的使用使得作品的创作过程更加自动化,但同时也引发了关于作品原创性和版权归属的法律争议。针对这一问题,本文进一步分析了各国在适应AI创作下的版权法律调整,包括版权主体的界定、作者权利的保护等方面的变革,并提出了完善版权体系的建议。最后,本研究预测了未来生成式AI可能带来的版权法的进一步变革和挑战。研究结果对于理解生成式AI技术对创意产业版权体系的深远影响具有重要意义,并为制定相关政策和法律提供了理论支持。
关键词:生成式AI;创意产业;版权体系
 
Abstract:
With the rapid development of artificial intelligence technology, generative AI, as an emerging technology, is increasingly applied in the creative industry. This study aims to explore the impact of generative AI on the existing copyright system in the creative industry and the potential reconstruction it may trigger. By employing literature analysis and case study methods, this paper first analyzes the current application status of generative AI in fields such as literary creation, music production, and visual arts, and discusses its impact on originality, authors' rights, and copyright ownership. The study found that the use of generative AI makes the creation process of works more automated, but at the same time, it raises legal controversies regarding the originality of works and copyright ownership. To address this issue, this paper further analyzes the copyright legal adjustments in various countries in response to AI creation, including changes in the definition of copyright subjects and the protection of authors' rights, and provides suggestions for improving the copyright system. Finally, this study predicts further changes and challenges in copyright law that may arise from generative AI in the future. The research results are significant for understanding the profound impact of generative AI technology on the copyright system of the creative industry and provide theoretical support for the formulation of relevant policies and laws.
Keywords: Generative AI; Creative industry; Copyright system
 
--
正文内容 / Content:
可下载并阅读全文PDF,请按照本文版权许可使用。
Download the full text PDF for viewing and using it according to the license of this paper.

参考文献 / References: 
  1. 韩雨潇.论“AI作品”的版权归属[J].科技传播,2022,14(18):101-103.
      
  2. 余祥聂建强.美国人工智能生成物的版权归属和可版权性标准的重构[J].科技与法律(中英文),2023,(05):138-148.
  3. 喻国明李钒.生成式AI浪潮下版权生态的态与势——试论“微版权”范式的转型迭代[J].当代传播,2023,(05):53-57.
  4. 韩雨潇.生成式人工智能作品版权归属问题研究[J].扬州大学学报:人文社会科学版,2023,27(04):52-64.
  5. 陈鹏付真.生成式AI嵌入创意产业内容生产的应用与风险——以ChatGPT为例[J].海河传媒,2023,(03):12-17.
  6. 张楠.从决策到创造 生成式AI重构产业创新范式[J].软件和集成电路,2023,(06):21-25.
  7. 丛立先李泳霖.生成式AI的作品认定与版权归属——以ChatGPT的作品应用场景为例[J].山东大学学报:哲学社会科学版,2023,(04):171-181.
  8. 邓文.以ChatGPT为代表的生成式AI内容的可版权性研究[J].政治与法律,2023,(09):84-97.
  9. 史学军.ChatGPT类生成式AI发展及其产业冲击[J].国际品牌观察,2023,(06):17-21.
  10. 冷凇刘旭.短视频时代“微版权”产业空间与创意延展[J].中国出版,2020,(04):54-57.
  11. 唐亦农.论人工智能生成物的可版权性与版权归属[J].艺术科技,2022,35(01):234-236.
  12. 郭欢欢.AI生成物版权问题再思考[J].出版广角,2020,(14):37-39.
由此登陆,开启投稿之旅: