The Revealed Preferences of Pre-authorized Licenses and Their Ethical Implications for Generative Models

This work examines the revealed preferences of creators as reflected in open and quasi-open licensing regimes based on the most commonly used licenses by copyright holders of images in the Creative Commons and copyright holders of code in GitHub code repositories. We discuss the ramifications these preferences and licenses might have absent a determination that training of generative AI and its associated outputs constitute fair use.