Data Innovation

In Law360, Eli Clemens argues that international anti-counterfeiting efforts must directly confront China’s central role in the counterfeit trade, or risk rendering global enforcement guidelines ineffective.

It is critical that, in tackling both these issues, the EU avoids engaging in digital protectionism, which would harm European competitiveness further.

The Center welcomes the European Commission’s ambition to accelerate the uptake of AI across the economy and public sector as part of its broader AI continent action plan.

Germany’s new coalition government has created a central digital ministry to finally accelerate its slow-moving AI agenda, aiming to modernize public services and support AI innovation. But success hinges on whether it prioritizes practical reform over symbolic sovereignty, especially amid EU regulations and global competition.

Fragmented and conflicting state AI regulations threaten to slow federal IT modernization, and a proposed 10-year moratorium aims to create a unified national framework to support innovation and maintain U.S. leadership in AI.

A patchwork of state and local retail delivery fees that act as hidden taxes on everyday purchases. Without federal action, these fees could spread rapidly—making it more expensive for Americans to buy everything from groceries to school supplies.

Watch now for a timely discussion by ITIF's Center for Data Innovation and Public First surrounding new polling data exploring how U.S. public sentiment toward AI is evolving. The conversation unpacks where Americans see promise or peril, how their views have shifted over the past year, and what these perspectives mean for lawmakers, business leaders, and the future of AI policy.

The UK should reject misleading claims that AI training is theft and instead adopt a modern, permissive copyright framework that protects creativity while enabling the innovation needed to become a global AI leader.

Congress should act to preempt state laws that impose broad requirements on the development and use of AI.

By prioritising the digitisation and availability of data that reflects this diversity, countries and communities stand a better chance of shaping AI in their own image, rather than submitting to someone else’s.