Mantegna argues that copyright law is the wrong tool for governing generative AI, especially for text, because copyright was never designed to regulate systems that learn statistical structures rather than copy expressive works. Attempts to stretch copyright to cover AI training and outputs risk (1) failing to meaningfully protect authors, (2) entrenching corporate intermediaries, (3) destabilizing fair use, (4) shrinking the public domain, and (5) degrading AI quality through defensive data practices. She insists that ethical harms (consent, attribution, labor displacement) are real—but conflating “unethical” with “illegal” produces bad law and ultimately worsens outcomes for creators and society.
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https://gist.github.com/GideonPotok/9d8de616ee20571d1d38ea760c5b99a2
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