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Artificial Intelligence

As every sector of the global economy and nearly every facet of modern society undergo digital transformation, ITIF advocates for policies that spur not just the development of IT innovations, but more importantly their adoption and use throughout the economy. In the area of artificial intelligence, ITIF studies issues related to competitiveness, governance, ethics, development, and adoption.

Ayesha Bhatti
Ayesha Bhatti

Head of Digital Policy, UK & EU

Center for Data Innovation

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Daniel Castro
Daniel Castro

Vice President and Director, Center for Data Innovation

Information Technology and Innovation Foundation

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Hodan Omaar
Hodan Omaar

Senior Policy Manager

Center for Data Innovation

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Featured

Picking the Right Policy Solutions for AI Concerns

Picking the Right Policy Solutions for AI Concerns

Some concerns are legitimate, but others are not. Some require immediate regulatory responses, but many do not. And a few require regulations addressing AI specifically, but most do not.

Ten Principles for Regulation That Does Not Harm AI Innovation

Ten Principles for Regulation That Does Not Harm AI Innovation

Concerns about artificial intelligence have prompted policymakers to propose a variety of laws and regulations to create “responsible AI.” Unfortunately, many proposals would likely harm AI innovation because few have considered what “responsible regulation of AI” entails.

US AI Policy Report Card

US AI Policy Report Card

The 117th Congress was the most AI-focused congressional session in history with 130 AI bills proposed, so it is a good moment to take stock of U.S. AI policy accomplishments to date and identify areas where there is room for continued progress.

More Publications and Events

August 27, 2025|Presentations

Using AI to Focus Agenda and Priorities for the Fiscal Year

Eli Clemens speaks about how the Consumer Product Safety Commission (CPSC) can use AI to focus its mission at the CPSC's FY26/FY27 Priorities Hearing.

June 17, 2025|Presentations

AI and Automation: The New Era of Safety and Compliance Management

Eli Clemens speaks as a panelist at the 2025 North America Product Safety Training Workshop hosted by the International Consumer Product Health and Safety Organization.

May 30, 2025|Op-Eds & Contributed Articles

Fragmented AI Laws Will Slow Federal IT Modernization in the US

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.

May 28, 2025|Testimonies & Filings

Comments to OSTP and NITRD on Development of a National Artificial Intelligence R&D Strategic Plan

The Center for Data Innovation urges the U.S. to refocus its federal AI R&D strategy on unlocking AI’s full potential by emphasizing deployment over harm prevention, linking technical design to real-world performance outcomes, and investing in the generation of high-quality, representative data to drive innovation and public benefit.

May 21, 2025|Blogs

AI Companions Risk Over-Regulation with State Legislation

Instead of legislating AI companions based on a real understanding of the benefits and potential harms of AI companions, states risk over-regulating before the technology can reach its full potential.

May 19, 2025|Presentations

Striking the Right Balance Between AI Regulation and Innovation

Daniel Castro speaks on a panel at the "AI for Prosperity: Innovation and Economic Growth in the Americas" conference in Buenos Aires, Argentina.

May 13, 2025|Events

How Americans Feel About AI—and Why It Matters for Policy

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.

May 12, 2025|Blogs

If AI Training Is Theft, Then Everyone’s a Thief

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.

May 9, 2025|Blogs

Fact of the Week: 20.5 Percent of Frequent Generative AI Users Report Saving Four or More Hours Weekly at Work

A survey conducted in November 2024 finds that 20.5 percent of workers who used generative AI at least once over the previous week reported saving four hours or more in work time.

May 7, 2025|Blogs

Congress Should Preempt Onslaught of State AI Laws

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

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