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 ...

Pride month is more than celebratory in a time when book bans are on the rise in the United States, and 26% of the titles banned “have LGBTQ+ characters or themes,” according to PEN America. With politicians like Ron DeSantis determined to make “anti-wokeness” part of the Republican brand, this neologism for hate-speech has taken the form of book and ...

The big battle over application of the fair use defense has been focused on the highly subjective, often confusing, doctrine of “transformativeness,” which is addressed under factor one of the four-factor test. Factor one considers the purpose of the use, including whether the purpose is commercial; and over the past decade or so, several high-profile defendants have sought to broaden ...

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 ...

On March 24, the court in Hachette et al. v. Internet Archive wholly rejected IA’s fair use defense constructed on the theory called Controlled Digital Lending (CDL). Prior to and since that ruling, various parties have tried to characterize this case as an attack by the publishers against the core function of libraries, alleging that libraries either already depend, or ...

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