One of the more challenging aspects of copyright advocacy is the fact that many artists and creators are conflicted about enforcing their own rights, and from observation, the disconnect is ideological. For the last 30 years, copyright skepticism has been woven into political narratives rooted in criticism of corporations and the excesses of capitalism—popular themes among the political left, which ...
In my last post, I discussed some of the allegations that “machine learning” (ML) with the use of copyrighted works constitutes mass infringement. Citing the class action lawsuits Andersen and Tremblay, I predicted that if the courts do not find that ML unavoidably violates the reproduction right (§106(1)), copyright law may not offer much relief to the creators of the ...
Many creators feel very strongly that “training” AI models with unlicensed, copyrighted works is unjust—not least because generative AIs built on their creativities will put some creators out of business while enriching more tech moguls. It is both insult and injury to see one’s work used, without consideration, to underwrite the mechanism of one’s own obsolescence. But regardless of how ...
On May 18, the Supreme Court delivered opinions in Gonzalez v. Google and Twitter v. Taamneh, a pair of interrelated cases in which both plaintiffs sought to hold online platforms liable for hosting material meant to inspire acts of terrorism. Because the Court unanimously found in Taamneh that there was no basis in anti-terrorism law for liability (and therefore no ...
Just as it is folly to anthropomorphize computers and robots, it is also unhelpful to discuss the implications of generative AI in copyright law by analogizing machines to authors.[1] In 2019, I explored the idea that “machine learning” could be analogous to human reading if the human happens to have an eidetic memory. But this was a thought exercise, and ...
