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社会科学进展

Progress in Social Sciences

ISSN Print: 2664-6943
ISSN Online: 2664-6951
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AIGC 生成图片可作品性研究

Research on the Workability of AIGC Generated Pictures

社会科学进展 / 2024,6(2):424-441 / 2024-05-16 look58 look42
  • 作者: 谢邦顺      李俊贤     
  • 单位:
    上海政法学院,上海
  • 关键词: AIGC;独创性;著作权;创作
  • AIGC; Originality; Copyright; Creation
  • 摘要: 随着AI时代的到来,使用AIGC进行“创作”的行为愈发常见。使用者通过输入关键词和选择绘画风格等行为,促使AIGC生成图片,这种由AIGC生成的图片难以构成作品取得作品地位。《著作权法》有着特定立法目的,对作品构成要件进行了明晰。作品创作主体必须是自然人,即使将AIGC使用者视为图片作者,生成图片也无法构成作品。受制于算法黑箱的存在,使用者无法控制改进图片生产过程。对作品进行多角度分析,不难发现,AIGC生成的图片可能满足独创性要求,但产生过程不符合创作定义,不应称作智力成果,更不应取得作品地位。
  • With the advent of the AI era, the use of AIGC for “creation” isbecoming more and more common. Users promote AIGC to generate picturesby entering keywords and selecting painting styles. This kind of picturesgenerated by AIGC is difficult to constitute the status of the work. TheCopyright Law has a specific legislative purpose and clarifies the constituentelements of the work. The main body of the work must be a natural person. Evenif the AIGC user is regarded as the author of the picture, the generated picturecannot constitute the work. Due to the existence of the algorithm black box,users cannot control and improve the picture production process. After a multiangleanalysis of the work, it is not difficult to find that the pictures generatedby AIGC may meet the requirements of originality, but the production processdoes not meet the definition of creation and should not be called intellectualachievement, let alone obtain the status of the work.
  • DOI: https://doi.org/10.35534/pss.0602034
  • 引用: 谢邦顺,李俊贤.AIGC生成图片可作品性研究[J].社会科学进展,2024,6(2):424-441.
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