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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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Matthew Kilcoyne
Matthew Kilcoyne

Policy Analyst

Center for Data Innovation

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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

December 12, 2025|Events

The State of Open-Source AI and Why It Matters

Join ITIF on Capitol Hill for a timely discussion on open-source AI, and what policymakers should do to maximize its benefits.

December 5, 2025|Blogs

Getting Korea's Narrative Right: AGI Is a Productivity Shock, Not a Justification for Public Compute

Some Korean commentary misreads AGI as a threat to labor and a rationale for public compute. In reality, AGI is better understood as a productivity shock that expands economic output. Resetting the narrative is essential for Korea to pursue policies that strengthen private-sector capacity, support AI diffusion, and enhance innovation.

November 24, 2025|Op-Eds & Contributed Articles

China, US Can Compete and Cooperate on AI

In China Daily, Daniel Castro argues that the U.S. and China face AI risks—like models enabling biological threats or cyberattacks—that are too great for either to manage alone, and can be mitigated through coordinated safety measures such as joint research, incident reporting, and red-team testing.

November 24, 2025|Blogs

Why Objections to Federal Preemption of State AI Laws Are Wrong

Fifty conflicting state AI laws create a fragmented, innovation-crushing patchwork, which federal preemption can solve by establishing a single, coherent national framework for AI regulation.

November 19, 2025|Blogs

Bans on AI Companions Hurt the Kids They Aim to Protect

Banning AI companions may appear protective, but broad restrictions would cut youth off from beneficial support tools, create privacy risks through age verification, and overregulate general chatbots instead of improving safety with better parental controls and transparency.

November 18, 2025|Presentations

U.S.-Japan Technology Cooperation: Shaping the Future of AI and Quantum

Hodan Omaar spoke about opportunities for US-Japan collaboration on AI governance and quantum technology at an event hosted by the National Bureau of Asian Research.

November 14, 2025|Blogs

What Senator Blackburn Gets Wrong About Google’s AI

Senator Blackburn’s call to shut down Google’s AI over a false claim is misguided, as the error came from a small, open developer model not designed for factual accuracy, and the incident does not demonstrate political bias or systemic failure.

November 13, 2025|Op-Eds & Contributed Articles

Korea’s Next Frontier: Competing Through Physical AI

Korea cannot match the United States on foundational model innovation or China on manufacturing scale. But it holds a unique combination of strengths that neither possesses together: semiconductor fabrication, precision manufacturing, and world-class industrial robotics deployment.

November 12, 2025|Presentations

To Bot or Not to Bot

Alex Ambrose speaks about navigating the risks and rewards of AI in marketing at Kids Industry Connect: A Children's Advertising and Privacy Summit, hosted by BBB National Programs.

November 5, 2025|Events

Context Matters: Building Trust in Digital Content

Join ITIF and the Coalition for Content Provenance and Authenticity (C2PA) for a timely discussion on how content transparency can strengthen trust across the digital ecosystem.

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