Engaging the many-hands problem of generative-AI outputs: a framework for attributing credit

Khosrowi, Donal; Finn, Finola; Clark, Elinor

Abstract

The recent wave of generative AI (GenAI) systems like Stable Diffusion or ChatGPT that can produce images, text and code from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on creatorship: who creates and should be credited with the outputs made with the help of GenAI? There is currently significant moral, legal and regulatory uncertainty around these questions. We develop a novel framework, called CCC (collective-centered creation), that helps resolve this uncertainty. According to CCC, GenAI outputs are created by collectives in the first instance. Claims to creatorship come in degrees and depend on the nature and significance of individual contributions made by the various agents and entities involved, including users, GenAI systems, developers, producers of training data and others. We demonstrate how CCC can help navigate a range of ongoing controversies around the responsible development and deployment of GenAI technologies and help more accurately attribute credit where it is due.

Citation

Khosrowi, D., Finn, F., & Clark, E. (online). Engaging the many-hands problem of generative-AI outputs: a framework for attributing credit. AI and Ethics, https://doi.org/10.1007/s43681-024-00440-7

• Journal Article Type: Article
• Acceptance Date: Feb 8, 2024
• Online Publication Date: Mar 11, 2024
• Deposit Date: Sep 9, 2024
• Publicly Available Date: Sep 9, 2024
• Journal: AI and Ethics
• Electronic ISSN: 2730-5961
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1007/s43681-024-00440-7
• Public URL: https://durham-repository.worktribe.com/output/2851250