As AI becomes increasingly integrated into all industries, organizations are striving to ensure that the insights generated by AI systems are reliable, accurate, and grounded in truth. Achieving trustworthy AI requires not only robust algorithms but also careful attention to the quality and structure of the information fed into them.

Training sets for large language models (LLMs) is changing how we think about copyright but the law hasn’t quite caught up yet. In this sharp, timely webinar, legal experts unpack the evolving landscape of fair use as it applies to generative AI: What counts as truly “transformative”?