Skip to content
ITIF Logo
ITIF Search

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

President

Information Technology and Innovation Foundation

Read Bio
Patrick Grady
Patrick Grady

Head of European Tech

Read Bio
Michelle Lopes Maldonado
Michelle Lopes Maldonado

Associate Director of AI Policy

Center for Data Innovation

Read Bio

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

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.

Back to Top