Artificial Intelligence
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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.

Vice President and Director, Center for Data Innovation
Information Technology and Innovation Foundation
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More Publications and Events
April 17, 2025|Events
Is U.S. Policy Ready for Agentic AI?
Join the Center for Data Innovation for a panel discussion on what the rise of agentic AI means for innovation, competition, and policy, how prepared the United States is to keep pace, and what policy shifts might be needed to ensure consumers and businesses can successfully develop and deploy AI agents.
April 8, 2025|Events
Why the UK Needs a Broad Text and Data Mining Exception to Support AI Innovation
Join ITIF's Center for Data Innovation for a discussion on the potential consequences of the UK government’s proposed option and how creating a more permissive text and data mining exception would advance the UK’s goals of being competitive in AI without undermining the rights of creators.
March 27, 2025|Blogs
The EU Should Resist Calls to Regulate AI Under the DMA
Europe risks undermining its competitiveness in the AI race by heeding calls to extend the DMA to AI and cloud services.
March 24, 2025|Blogs
Virginia’s AI Bill Is a Misfire
Virginia Governor Glenn Youngkin will decide on HB 2094, a flawed AI bill with inconsistent rules and unworkable enforcement. Signing it would add to a costly patchwork of state laws without improving outcomes.
March 14, 2025|Testimonies & Filings
Comments to the Office of Science and Technology Policy on the Development of an AI Action Plan
The Center for Data Innovation outlined seven policy priorities we believe to be most critical for the AI Action Plan, along with specific actions the administration should take.
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.