As AI models become more deeply embedded across industries, legal battles over how large language models (LLMs) are trained and the use of copyrighted material have taken center stage. Columbia Law Professor Shyam Balganesh delves into the complex legal issues surrounding AI and copyright, explaining how LLMs rely on vast datasets, including copyrighted works, to power their outputs. With high-profile cases like The New York Times v. OpenAI and Getty Images v. Stable Diffusion, courts are now weighing whether the use of copyrighted material in AI training falls under fair use or violates intellectual property rights.

In this episode, Professor Balganesh discusses the technical intricacies of AI model training, the fair use doctrine’s role in AI litigation, and how the future may shift toward licensing models to resolve these disputes. Balganesh offers an inside look at the evolving legal landscape and what it could mean for the future of AI development.

Shyam Balganesh is a professor of law at Columbia Law School. For attorneys, a CLE version of this interview can be found at www.talksonlaw.com or by following this link.