This insightful analysis explores how China’s August 15, 2023 regulations on generative AI reflect a strategic choice to slow AI progress for social and political control. It reveals a key finding that Beijing’s cautious regulatory approach contrasts sharply with the innovation-first strategies of the U.S. and EU, granting other jurisdictions essential breathing room to develop responsible AI policies. Legal professionals will find this article timely and compelling, as it provides practical insight into how geopolitical AI maneuvering reshapes cross-border legal strategy, compliance, and tech governance. By positioning China’s policy as a global pivot point, this piece equips lawyers and policymakers with a nuanced understanding of how AI regulation is being shaped on the international stage—prompting further investigation and dialogue.

This analysis by Matt Blaszczyk, Geoffrey McGovern, and Karlyn D. Stanley explores how U.S. copyright law grapples with AI-generated content, addressing whether AI-assisted works qualify for protection and how training datasets are treated under both U.S. and EU doctrines. It highlights a key insight: U.S. law requires human “authorial contribution” for copyrightability, while the EU allows rights holders to challenge commercial AI training—underscoring a growing legal divide. Timely hearings in Congress and updates from the U.S. Copyright Office make this discussion urgent for legal professionals managing copyright risks in generative AI projects. The analysis empowers practitioners with a clear roadmap for navigating emerging policy debates, licensing strategies, and litigation landscapes around AI-authored content—making it essential reading for IP counsel advising on innovation-driven initiatives.

This expert analysis from Dentons partners Jennifer Cass, Anna Copeman, Sam Caunt, and David Wagget examines the unresolved IP challenges arising from generative AI in 2024 and the legal “cliffhangers” heading into 2025. It highlights key issues like copyright infringement during AI training, ownership of AI-generated works and inventions, and emerging litigation—such as Getty Images v. Stability AI. Legal professionals will find value in its forward-looking take on 2025 reforms, including licensing trends, contractual risk strategies, and pending court rulings. Written with practical insight, this piece equips lawyers with proactive tools to guide clients through rapidly evolving AI‑IP terrain.

The USPTO is adapting fast—training examiners, collaborating globally, and rethinking IP laws to meet AI’s rise. This report dives into how they’re tackling ownership disputes and protection issues. Click to discover what this means for your AI-powered ideas.

AI can help invent—but it can’t be the inventor. This article breaks down why patent laws still require meaningful human input, referencing Thaler v. Vidal. Learn how AI fits into the future of invention and what patent offices expect today. Click to explore how the law draws the line between human genius and machine assistance—and what that means for innovators like you.

As AI technology advances, so do the legal questions. This breakdown looks at the ripple effects on IP rights, privacy laws, and liability standards—plus the frameworks taking shape. Click to see how these changes could impact your rights and responsibilities.