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.
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More Publications and Events
October 12, 2026|Testimonies & Filings
Comments to NIST Regarding Modernizing the National Vulnerability Database in the Age of AI
NIST should modernize the NVD by expanding automation, improving coordination with CISA, and adopting more reliable product‑identification and data‑ingestion systems that support machine‑speed defense.
October 9, 2026|Blogs
Backlash to Flock Cameras Is a Trust Issue, Not a Tech Issue
At its core, the backlash against Flock has little to do with automated license plate readers. Instead, amid growing opposition to AI and federal law enforcement, Flock cameras have suffered from being in the wrong place at the wrong time.
October 8, 2026|Blogs
Techno-Doom Panics Are Wired Into Our Brains
Our brains are wired to react to uncertainty with fear before reason catches up. However, giving in to techno-doom panics is bad for humanity.
October 5, 2026|Blogs
Fact of the Week: AI Infrastructure Could Draw $10.3 Trillion in U.S. Investment Through 2032
The United States could pour an estimated $10.3 trillion into the infrastructure needed to support artificial intelligence between 2025 and 2032.
October 2, 2026|Blogs
Developing Safety Standards Is Not Inherently Anticompetitive
Developing common AI safety standards does not, by itself, undermine competition. Policymakers should not force companies to choose between competing vigorously and working together to prevent serious safety risks. Antitrust law should allow both.
September 30, 2026|Blogs
Europe Should Double Down on Its Open-Source AI Bet
Europe cannot match the United States and China in closed AI models, but it has an opportunity to lead in open models. The EU should remove regulatory and procurement barriers and foster a global open-model ecosystem.
September 30, 2026|Presentations
The 2026 STEPI Intelligence Dialogue: Intelligence Beyond Information, Signal Beyond Noise
Daniel Castro speaks about the potential of improving science and technology policy through the use of AI and predictive analytics on the "Intelligence beyond Information, Signal beyond Noise: EWS Detecting Emerging Security" panel at the 2026 Intelligence Dialogue in Seoul, South Korea, hosted by the Science and Technology Policy Institute (STEPI).
September 29, 2026|Blogs
Democrats Should Treat Data Centers Like Clean Energy
Democrats should approach data centers as they have clean-energy infrastructure: take legitimate local concerns seriously and mitigate their impacts without allowing opposition to become a blanket rejection of development. As AI drives growing demand for data centers, policymakers should balance community protections with the economic, technological, and clean-energy benefits these investments can provide.
September 22, 2026|Blogs
The EU AI Act’s Costs to American Innovation
The EU AI Act disproportionately burdens U.S. AI firms with compliance costs and potential fines that could weaken U.S. competitiveness with China. Europe should simplify its regulatory framework and deepen cooperation with Washington to support innovation and economic growth on both sides of the Atlantic.
September 18, 2026|Blogs
AI Kill Switches Won’t Solve the Rogue AI Problem
As AI systems gain greater autonomy, policymakers should prioritize research and safeguards that make dangerous behavior harder to initiate, easier to detect, and faster to contain. Emergency shutdown capabilities can be one useful tool in that effort, but a government‑mandated kill switch is neither universally feasible nor sufficient to address the broader challenges posed by autonomous AI.






