Governing AI
AI and Copyright: Expanding Copyright Hurts Everyone—Here’s What to Do Instead
This article argues against requiring licenses for data used to train AI systems, arguing that this expansion of copyright law would stifle innovation, harm research, and limit competition by favoring large corporations: “Requiring researchers to license fair uses of AI training data could make socially valuable research based on machine learning (ML) and even text and data mining (TDM) prohibitively complicated and expensive, if not impossible. Researchers have relied on fair use to conduct TDM research for a decade, leading to important advancements in myriad fields. However, licensing the vast quantity of works that high-quality TDM research requires is frequently cost-prohibitive and practically infeasible.”
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