Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond

要旨

Since the emergence of generative AI, creative workers have spoken up about the career-based harms they have experienced arising from this new technology. A common theme in these accounts of harm is that generative AI models are trained on workers' creative output without their consent and without giving credit or compensation to the original creators. This paper reports findings from 20 interviews with creative workers in three domains: visual art and design, writing, and programming. We investigate the gaps between current AI governance strategies, what creative workers want out of generative AI governance, and the nuanced role of creative workers' consent, compensation and credit for training AI models on their work. Finally, we make recommendations for how generative AI can be governed and how operators of generative AI systems might more ethically train models on creative output in the future.

著者
Lin Kyi
Max Planck Institute for Security and Privacy, Bochum, Germany
Amruta Mahuli
Max Planck Institute for Security and Privacy, Bochum, Germany
M. Six Silberman
University of Oxford, Oxford, United Kingdom
Reuben Binns
University of Oxford, Oxford, United Kingdom
Jun Zhao
University of Oxford, Oxford, United Kingdom
Asia J.. Biega
Max Planck Institute for Security and Privacy, Bochum, Germany
DOI

10.1145/3706598.3713799

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713799

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Creativity Support

G314+G315
6 件の発表
2025-04-29 23:10:00
2025-04-30 00:40:00
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