Center for Data Innovation Blog

Requiring government approval before releasing advanced AI models would slow innovation, politicize AI development, and weaken U.S. competitiveness. Instead, policymakers should focus on collaborative safety efforts and strengthening cybersecurity.

France’s sweeping effort to replace foreign technology providers with European alternatives prioritizes digital sovereignty and domestic protectionism over productivity, despite no public evidence the transition will improve government performance or reduce costs.

Lawmakers risk misregulating grocery prices by targeting dynamic and algorithmic pricing tools, and should instead focus on enforcing existing laws against clearly defined deceptive practices.

Japan should revise its draft AI IP code to remove technically infeasible disclosure mandates and instead adopt workable, pro-innovation transparency standards aligned with international efforts like the Hiroshima AI Process to preserve U.S. alignment and avoid deterring AI investment.

While the U.S. has focused on securing AI systems themselves, it must urgently shift toward using AI defensively—through coordinated government, industry, and infrastructure efforts—to counter the growing threat of AI-powered cyberattacks on existing systems.

While false “Made in USA” claims are a real problem, the solution is not holding online marketplaces liable but strengthening data infrastructure and verification systems that enable regulators, consumers, and AI tools to more effectively identify and enforce legitimate claims.

China has surged ahead of the United States in adopting sidewalk delivery robots due to more proactive and coordinated policy experimentation, offering lessons for U.S. policymakers on how real-world pilots and clearer regulatory frameworks can accelerate deployment of autonomous delivery technology.

Agentic commerce—where AI agents autonomously shop and transact on users’ behalf—could deliver major efficiency gains, but outdated regulations and unresolved legal questions risk slowing adoption unless policymakers update rules built for human-driven transactions.

Policymakers who want to protect patients while ensuring clinicians can use tools that improve care should look to Utah for how regulatory sandboxes can maximize patient access to beneficial tools while minimizing clinical risk.

The European Parliament has disabled built-in AI features on corporate tablets and phones issued to MEPs and staff over concerns that data sent to cloud services by these features presented a security risk. This decision is misguided because it does not address security risks, drives AI use into the shadows, disrupts everyday productivity tools, and imposes disproportionate costs on the Parliament’s smaller delegations.