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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

March 6, 2025|Blogs

AI Is Key to Trump’s Education Overhaul

Education Secretary Linda McMahon proposed eliminating the Department of Education by cutting federal bureaucracy to empower state-led innovation, but true transformation in American education requires a national commitment to investing in AI-driven personalized learning.

March 3, 2025|Reports & Briefings

From Fast Follower to Innovation Leader: Restructuring South Korea’s Technology Regulation

South Korea stands at a crossroads as its restrictive “positive regulation” and “shadow regulations” stifle innovation in AI, crypto, and mobility tech, allowing China to race ahead. Korea must modernize this framework or risk losing its position as a global innovation leader.

February 25, 2025|Testimonies & Filings

Comments to the UK Government on Proposed Changes to the Copyright, Design, and Patents Act 1988

The Center for Data Innovation submitted these comments to the UK government’s Intellectual Property Office, Department for Science, Innovation and Technology, and Department for Culture, Media and Sport on its consultation on proposed changes to the UK’s copyright regime, the Copyright, Design, and Patents Act (CDPA) 1988.

February 21, 2025|Testimonies & Filings

Comments to the California Privacy Protection Agency’s Proposed AI Regulations

The California Privacy Protection Agency (CPPA) has proposed regulations that would impose new requirements on businesses using automated decision-making technology.

February 20, 2025|Blogs

Selective Outrage Over AI and Copyright

The UK’s copyright system has long prioritized economic interests over creators’ control, allowing industries to learn from creative works without permission. Critics now opposing AI training have benefited from these same principles. A fair debate should acknowledge this precedent rather than selectively restricting AI.

February 13, 2025|Blogs

Reevaluating US AI Strategy Against China

Recent developments, including DeepSeek’s notable successes, have cast doubt on the effectiveness of the U.S. export control policy and show how U.S. firms may ultimately pay the price unless the Trump administration takes a new approach.

February 7, 2025|Blogs

Why Is the FTC Working With Temu While China Advances in AI?

The DeepSeek breakthrough does not vindicate or discredit antitrust policies but is a wake-up call. Rather than celebrating moves to hobble its tech ecosystem, the United States needs a coherent national strategy that leverages all American innovative capabilities to ensure U.S. AI leadership.

February 6, 2025|Blogs

CBP Should Leverage AI, Not More Staff, to Manage the Surge in Inspections After Partial End to De Minimis Exception

The Trump administration has two choices after ending de minimis treatment for imports from China: Either turn Customs and Border Patrol into the largest federal agency, or make it a leader in government technology. In the age of AI, the right path is obvious.

January 30, 2025|Blogs

Will AI Regulation “Avoid Past Mistakes” or Just Make Different Ones?

As part of the ongoing backlash against “Big Tech,” policymakers from both sides of the aisle and various stakeholders have raised a host of issues with social media ranging from potential harm to children to the alleged death of democracy.

January 30, 2025|Blogs

DeepSeek Is a Reality Check Washington Can’t Afford to Get Wrong

DeepSeek’s breakthrough is a wake-up call that China’s AI capabilities are advancing faster than Western conventional wisdom has acknowledged.

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