Work

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

Year: 2024

Type: article

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.

Source: AI and Ethics

DOI: 10.1007/s43681-024-00440-7

Authors: Donal Khosrowi, Finola Finn, Elinor Clark

Institutions: Leibniz University Hannover, Durham University

Language: English

Topic: Law, AI, and Intellectual Property

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,990

Funders: Niedersächsische Ministerium für Wissenschaft und Kultur, Gottfried Wilhelm Leibniz Universität Hannover, LG Display