Lately, we’ve seen several headlines and comments from tech giants say that AI ventures simply cannot succeed if they are forced to contend with the copyrights in the billions of works they have scraped for the purpose of machine learning (ML). When these headlines are paired with the rampant assertions that ML is inherently fair use—a subject addressed in last ...
When I was planning to start The Illusion of More, I contemplated a category of posts under the heading We Don’t Need This. Although abandoned, I thought it might be an editorial framework for articles about innovations that really aren’t innovative, and the low-tech invention that originally inspired the idea was the kiddie-car/shopping-cart hybrid. In case you haven’t had the ...
After the Supreme Court’s decision in AWF v. Goldsmith restored what many of us view as common sense to the fair use doctrine of transformativeness, the flurry of litigation against AI developers will test the same principle in a different light. As discussed on this blog and elsewhere, caselaw has produced two frameworks for considering whether the “purpose and character” of ...
As reported by Insider last week, the Andreessen Horowitz VC firm a16z, complains that potential copyright liability for AI developers could harm the interest of their investors. “Imposing the cost of actual or potential copyright liability on the creators of AI models will either kill or significantly hamper their development,” they state, as quoted by Kali Hays. Sympathy for the ...
Below are the responses I submitted to selected questions in the U.S. Copyright Office Notice of Inquiry and request for comments on artificial intelligence. 8.1. In light of the Supreme Court’s recent decisions in Google v. Oracle America and Andy Warhol Foundation v. Goldsmith, how should the “purpose and character” of the use of copyrighted works to train an AI ...
