California’s Artificial Intelligence Data Transparency Law: Effective January 1, 2026

This session examines who and what falls under AB 2013’s training data transparency requirements, including the definitions of developer, substantial modification, and generative AI. Participants will explore the law’s narrow statutory exceptions and how its broad scope may extend beyond major AI developers to entities that modify existing systems.

This session breaks down the core requirement for developers to post documentation about training data, including the 12 specific categories that must be addressed in a high-level summary. Key interpretive tensions around specificity, trade secret concerns, and notable statutory omissions such as enforcement mechanisms will be analyzed.

This session places AB 2013 in context alongside other emerging AI regulations, including the Colorado AI Act, California’s SB 942 and SB 53, and federal developments. Participants will examine enforcement through the California UCL, the pending XAI lawsuit challenging the law, and potential federal preemption implications.