Arguments in Favor of AI Fair Use (kk.org)

A recent discussion posits that the training of large language models (LLMs) should be recognized as fair use under U.S. copyright law. The argument hinges on the transformation of expressive content—such as text, images, and music—into a non-copyrightable mathematical abstraction known as "latent space." This process not only reconfigures the data but also creates a new category of knowledge that extends beyond mere replication. As LLMs process and synthesize vast amounts of information, their utility in generating responses, developing strategies, and solving problems demonstrates a profound shift in how society interacts with information, marking a significant evolution in digital content usage. The implications for the AI/ML community are profound, suggesting that LLMs represent a new commons—a collective intellectual resource that could foster innovation and creativity. By viewing training material as fair use, we can potentially unlock broader public access to AI technology, moving away from profit-driven models to a more inclusive framework. This perspective advocates for the establishment of "public intelligence" models, which could democratize AI capabilities and ensure they serve the public good. As LLMs continue to develop, it will be crucial to maintain the principles of fair use to cultivate a rich environment for future AI advancements and societal benefits.