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.
April 4, 2025|Blogs
CPSC Should Leverage AI to Modernize Product Safety
To modernize enforcement, the Consumer Product Safety Commission (CPSC) should use AI to analyze real-time and historical data, allowing it to predict and address risks in e-commerce supply chains before harm occurs.
April 4, 2025|Blogs
Antitrust and AI: Remarks Before the House Antitrust Subcommittee
Despite policymakers’ temptation to adopt flawed competition policies in response to AI, there is no reason at this time for heavy-handed antitrust enforcement or fundamental changes to U.S. antitrust laws.
April 3, 2025|Testimonies & Filings
Testimony Before the House Judiciary Committee Regarding Artificial Intelligence Trends in Innovation and Competition
The AI revolution is a testament to the continued flourishing of high-tech competition and the importance of an antitrust policy that fosters innovation.
March 30, 2025|Blogs
US AI Policy Is Stuck in Training Mode
U.S. AI policy prioritizes training compute while overlooking inference—the compute needed to deploy models effectively. As AI progress shifts toward optimizing inference, policymakers must adapt by supporting global deployment, refining export controls, and promoting energy-efficient AI to maintain U.S. competitiveness.
March 29, 2025|Presentations
Advancing Global AI Safety through Systematic Monitoring
Daniel Castro delivers a keynote speech on global cooperation around monitoring AI incidents at the ZGC Forum in Beijing, China.
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 20, 2025|Presentations
China’s AI Leap No Surprise – If You Know Where to Look
Hodan Omaar speaks about China's AI innovation at a panel hosted by the National Press Foundation.