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On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI
Daniel McDuff, Tim Korjakow, Scott Cambo, Jesse Josua Benjamin, Jenny Lee, Yacine Jernite, Carlos Muñoz Ferrandis, Aaron Gokaslan, Alek Tarkowski, Joseph Lindley, A. Feder Cooper, Danish Contractor
February 7, 2024
arXiv.org
13 citations
2 influential
Key Takeaways
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Behavioral use clauses in AI licenses are gaining significant traction: As of end of 2023, approximately 40,000 software and model repositories have adopted responsible AI licenses with behavioral restrictions, including major models like BLOOM, LLaMA2, Stable Diffusion, and GRID, demonstrating real-world adoption of this governance approach.
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Current lack of standardization creates confusion and reduces effectiveness: The paper finds that responsible AI licenses have been adapted differently across contexts, which risks confusing users about what restrictions actually apply and potentially diluting the intended protective impact of these licenses.
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One-size-fits-all approaches are insufficient: While standardization is needed, the research shows that customization of behavioral restrictions is appropriate and necessary in specific domains like medicine, suggesting that flexible frameworks are important for responsible AI licensing.
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"Standardized customization" offers a practical path forward: The authors propose a middle-ground solution combining standardized templates with domain-specific customization options, supported by tooling, to balance clarity and usability with context-specific needs.
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Behavioral use clauses represent an emerging governance tool for AI risk management: This research documents how developers are using license-based restrictions as a practical mechanism to specify acceptable uses and mitigate negative applications of AI systems before deployment.