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
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

June 16, 2026|Events

How to Protect Kids From Chatbots Without Bans

Join ITIF for a discussion on recently introduced chatbot safety bills up for debate in Congress, including the GUARD Act and CHATBOT Act, and what policymakers, parents, and platforms could do to protect children without bans.

June 11, 2026|Blogs

The Pope’s AI Encyclical Marks the Triumph of Social Capitalism Over Neoliberalism: Part I

The Pope’s AI encyclical reflects social capitalism’s animus toward growth, technology-driven creative destruction, international economic competition, and large business.

June 10, 2026|Op-Eds & Contributed Articles

The China Chip Strategy That Is Backfiring on America

As Daniel Castro writes in Tech Policy Press, U.S. export controls were intended to preserve America’s AI lead, but by accelerating China’s push for technological self-sufficiency and strengthening competing AI ecosystems, they may be undermining that goal.

June 10, 2026|Presentations

Partnerships for Autonomous Science Workshop: Policy Perspectives

Daniel Castro speaks about policy opportunities and challenges at the Partnerships for Autonomous Science Workshop hosted by the AI Science Foundry at Carnegie Mellon University.

June 9, 2026|Blogs

The CNN-Perplexity Lawsuit Is Not Just Another AI Copyright Case

Unlike training-data disputes, CNN's lawsuit against Perplexity alleges near-verbatim reproduction of its journalism through AI search products. Policymakers should favor targeted enforcement—not sweeping AI restrictions.

June 8, 2026|Blogs

Taxing AI Compute Would Be a Mistake

Proposals to tax AI computing power are proliferating as concerns about AI grow. But an AI compute tax would slow productivity growth, drive investment abroad, and do little to protect workers or preserve the tax base.

June 4, 2026|Commentary

States Should Move AI Pilot Programs from Siloed Tests to Statewide Deployment

Five states—Utah, Connecticut, Ohio, Texas, and North Carolina—are showing how centralized AI sandboxes, oversight frameworks, and clear evaluation metrics can help governments move beyond isolated pilot programs and scale AI tools to deliver measurable improvements in public services.

June 2, 2026|Blogs

AI Drug Discovery Systems Could Strengthen Biopharmaceutical Innovation—If Policymakers Get the Incentives Right

AI systems like Robin could reshape early-stage drug discovery, but only if policymakers support the data, infrastructure, regulatory clarity, and incentives needed to scale them responsibly.

May 29, 2026|Blogs

The Vatican’s “AI Monopolies” Talk Risks Encouraging Bad Tech Policy

Despite Magnifica Humanitas’s discussion of AI and economic power, today’s AI market remains highly competitive, and policymakers should be cautious about using monopoly fears to justify heavy-handed regulation.

May 28, 2026|Reports & Briefings

How Personalization Drives Consumer Choice and Autonomy

As new technologies such as AI expand both user-directed and provider-driven personalization capabilities in digital systems, policymakers should ensure that personalization strengthens transparency, accountability, and user control rather than constrain its development.

Back to Top