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Human ownership of artificial creativity
Nature Machine Intelligence ( IF 23.8 ) Pub Date : 2020-03-09 , DOI: 10.1038/s42256-020-0161-x
Jason K. Eshraghian

Advances in generative algorithms have enhanced the quality and accessibility of artificial intelligence (AI) as a tool in building synthetic datasets. By generating photorealistic images and videos, these networks can pose a major technological disruption to a broad range of industries from medical imaging to virtual reality. However, as artwork developed by generative algorithms and cognitive robotics enters the arena, the notion of human-driven creativity has been thoroughly tested. When creativity is automated by the programmer, in a style determined by the trainer, using features from information available in public and private datasets, who is the proprietary owner of the rights in AI-generated artworks and designs? This Perspective seeks to provide an answer by systematically exploring the key issues in copyright law that arise at each phase of artificial creativity, from programming to deployment. Ultimately, four guiding actions are established for artists, programmers and end users that utilize AI as a tool such that they may be appropriately awarded the necessary proprietary rights.



中文翻译:

人为创造力的所有权

生成算法的进步提高了人工智能(AI)作为构建合成数据集的工具的质量和可访问性。通过生成照片级逼真的图像和视频,这些网络可能对从医学成像到虚拟现实的众多行业造成重大技术中断。但是,随着由生成算法和认知机器人技术开发的艺术品进入舞台,以人为本的创造力概念已得到全面测试。当程序员以培训者确定的风格,使用来自公共和私有数据集中可用信息的特征来自动化创造力时,谁是AI生成的艺术品和设计的权利的专有所有者?该观点旨在通过系统地探索从编程到部署的人为创造力每个阶段出现的版权法中的关键问题来提供答案。最终,为利用AI作为工具的艺术家,程序员和最终用户制定了四个指导性措施,以便可以适当地授予他们必要的所有权。

更新日期:2020-04-24
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