Ingesting Data, Igniting Lawsuits: AI’s Copyright Dilemma
from AI Lawyer Hosted by TalksOnLaw
Guest: Prof. Shyam Balganesh, Columbia Law School. The growing integration of AI models across industries has ignited fierce legal battles over the training of large language models (LLMs) and the use of copyrighted material. Columbia Law Professor Shyam Balganesh sits down with AI Lawyer to unpack the intricate legal questions surrounding AI and copyright, highlighting how LLMs depend on extensive datasets, often incorporating copyrighted works, to generate their outputs. High-profile cases, such as The New York Times v. OpenAI and Getty Images v. Stable Diffusion, are forcing courts to decide whether the use of copyrighted material for AI training qualifies as fair use or infringes on 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.
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