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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.

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

Why Korea Should Rethink Data Localization to Become an AI Powerhouse

Why Korea Should Rethink Data Localization to Become an AI Powerhouse

Korea is trying to unlock high quality data for AI competitiveness, but its push for strict domestic data storage risks isolating developers from the global infrastructure and partnerships modern AI depends on. A more effective approach would protect sensitive data through targeted safeguards rather than blunt geographic restrictions that ultimately undermine innovation and market competition.

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

March 23, 2026|Blogs

AI and Kids’ Safety Need Separate Solutions, Not New Problems

The TRUMP AMERICA AI Act combines AI regulation with children’s online safety legislation in a single bill, creating overbroad, ill-suited policies that increase compliance burdens and ultimately weaken both innovation and effective protection of minors. These issues should be addressed separately with targeted approaches.

March 20, 2026|Blogs

Utah Shows How States Should Regulate AI in Healthcare

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.

March 20, 2026|Blogs

KCTU’s Digital Policy Push Risks Protecting Yesterday’s Jobs at the Expense of Tomorrow’s Workers

As Korea’s labor debate moves into digital policy, unions risk harming workers in the next generation of industries by prioritizing protections for existing jobs over preparing workers for technological transition.

March 19, 2026|Blogs

Polling as Propaganda: How Blue Rose Research’s AI Survey Misleads

A poll built on leading questions, false choices, and fearmongering does not reflect actual public opinion on AI. It shows how to optimize disinformation for partisan messaging.

March 15, 2026|Op-Eds & Contributed Articles

Will Artificial Intelligence Turn Out to Be a Dream Killer?

Despite what the apostles of artificial general intelligence warn, there is no reason to think AGI will get here anytime soon, if ever.

March 14, 2026|Op-Eds & Contributed Articles

Korea’s Real Jobs Problem Isn’t AI

Seventy percent of young Koreans hold university degrees. Only 14 percent of jobs are in large firms. The most immediate concern is not jobs disappearing due to AI, but that there are too few high-quality jobs in the first place.

March 13, 2026|Reports & Briefings

How Rules for Publicly Available Data Are Shaping the Future of AI

To protect individuals while preserving the open information ecosystem that supports innovation, policymakers should focus on outputs rather than training inputs, encourage transparency norms for autonomous AI agents, and create a safe harbor for responsible use of publicly available data.

March 12, 2026|Blogs

UBI: Unbelievably Bad Idea

Rather than proposing universal basic income as the solution to robots supposedly taking all our jobs, the task should be to improve federal worker adjustment assistance programs.

March 5, 2026|Events

Context Matters: Building Trust in Digital Content

Watch the Capitol Hill event, presented by ITIF and the Coalition for Content Provenance and Authenticity (C2PA), where expert panelists discussed how content transparency can strengthen trust across the digital ecosystem.

March 4, 2026|Blogs

The European Parliament Should Manage Built-In AI, Not Disable It

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.

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