Center for Data Innovation Blog

Five states—Utah, Connecticut, Ohio, Texas, and North Carolina—are showing how centralized AI sandboxes, oversight frameworks, and clear evaluation metrics can help governments move beyond isolated pilot programs and scale AI tools to deliver measurable improvements in public services.

As AI-powered cyber threats become more advanced, the federal government should modernize the CyberCorps SFS program by integrating AI-security training, reforming cyber hiring pipelines, and expanding training infrastructure to build a stronger cybersecurity workforce.

OECD data shows there is a consistent, positive relationship between the share of firms using AI and a country’s GDP per hour worked.

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.