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arxiv_ai 95% Match Legal/Ethical Analysis Paper Legal scholars,Policymakers,AI developers,Content creators,Copyright holders 2 weeks ago

Unfair Learning: GenAI Exceptionalism and Copyright Law

ai-safety › fairness
📄 Abstract

Abstract: This paper challenges the argument that generative artificial intelligence (GenAI) is entitled to broad immunity from copyright law for reproducing copyrighted works without authorization due to a fair use defense. It examines fair use legal arguments and eight distinct substantive arguments, contending that every legal and substantive argument favoring fair use for GenAI applies equally, if not more so, to humans. Therefore, granting GenAI exceptional privileges in this domain is legally and logically inconsistent with withholding broad fair use exemptions from individual humans. It would mean no human would need to pay for virtually any copyright work again. The solution is to take a circumspect view of any fair use claim for mass copyright reproduction by any entity and focus on the first principles of whether permitting such exceptionalism for GenAI promotes science and the arts.
Authors (1)
David Atkinson
Submitted
April 1, 2025
arXiv Category
cs.CY
arXiv PDF

Key Contributions

This paper critically examines the argument for GenAI exceptionalism from copyright law, contending that fair use arguments favoring GenAI apply equally, if not more so, to humans. It argues against granting GenAI broad immunity, asserting that such exceptionalism is legally and logically inconsistent and could undermine the purpose of copyright law by disincentivizing human creativity.

Business Value

Provides a critical legal perspective that can inform policy, regulation, and business practices related to generative AI, potentially preventing widespread copyright disputes and ensuring a more equitable creative landscape.