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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.

Ayesha Bhatti
Ayesha Bhatti

Head of Digital Policy, UK & EU

Center for Data Innovation

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Daniel Castro
Daniel Castro

Vice President and Director, Center for Data Innovation

Information Technology and Innovation Foundation

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Martin Makaryan
Martin Makaryan

Research Assistant, Digital Policy

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Hodan Omaar
Hodan Omaar

Senior Policy Manager

Center for Data Innovation

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Yanzi Xu
Yanzi Xu

Research Fellow

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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

January 21, 2025|Events

The Worst Tech Policies of 2024: How the New Administration and Congress Can Turn the Page

Please join ITIF for a virtual panel discussion with technology policy experts who will highlight and critique the most counterproductive tech policies of the past year, and consider how the incoming administration and Congress can turn the page.

January 17, 2025|Blogs

It’s Time the US Speaks With One Voice on AI

The United States has seen fragmented efforts in AI regulation. Lacking coordination, these efforts failed to create a unified strategy, leaving the U.S. without a clear voice on AI.

January 16, 2025|Events

Balancing National Security and Economic Competitiveness in AI Export Controls

Watch now for a panel discussion on the proposed AI export control framework’s implications for U.S. competitiveness, the global AI ecosystem, and national security. Panelists will discuss the risks of the proposed approach, explore alternative policy strategies, and discuss the path forward to balance economic, security, and foreign policy objectives.

January 10, 2025|Blogs

Moonshot AI: Betting Big on Long-Context, Confronting the Challenges of Scale and Reliability

This post is part of our ongoing series on China’s AI unicorns. Moonshot AI, a Beijing-based startup, rose quickly in China's AI market with its flagship chatbot Kimi, known for processing 2 million characters and a consumer-focused approach.

January 5, 2025|Blogs

How DOJ’s Proposal to Break Up Google Would Hurt U.S. Competitiveness in AI

Last October, the U.S. Department of Justice (DOJ) proposed a sweeping set of remedies in response to an earlier court ruling that Google violated antitrust laws with its search business. While most attention has focused on the potential partial breakup of Google—the DOJ has proposed the divesture of the Chrome web browser and the Android mobile operating system—the proposed remedies would also have significant implications for U.S. competitiveness in AI.

December 16, 2024|Reports & Briefings

Why AI-Generated Content Labeling Mandates Fall Short

Mandatory labeling for AI-generated content, particularly through watermarking, is neither a reasonable nor effective solution to the issues policymakers seek to address. Rather than singling out AI-generated content, policymakers should prioritize building trust within the digital ecosystem as a whole.

December 16, 2024|Blogs

Eight Ways the New Administration Can Pursue a Post-Techlash Agenda

There is a huge opportunity to change the technology narrative of recent years, making it less about fear, potential downsides and things to blame, and more about national development, competitiveness, and prosperity in an “America First” context.

December 12, 2024|Blogs

Zhipu AI: China’s Generative Trailblazer Grappling with Rising Competition

This post is part of our ongoing series on China’s AI unicorns. Zhipu AI, China’s largest AI start-up by workforce, develops bilingual LLMs like GLM while advancing open-source and commercial AI innovation.

December 12, 2024|Blogs

China’s AI Unicorns: Exploring the Five Startups Vying to Rival Western Counterparts

Five Chinese generative AI start-ups, known as "AI Tigers," have achieved unicorn status by 2025, highlighting China's rapid innovation and distinct strategies in the global AI race. This blog series delves into each of these five startups.

November 25, 2024|Reports & Briefings

Digital Transformation Should Be at the Heart of the UK’s Economic Agenda

The UK stands at a critical moment when embracing digital transformation, AI, and data innovation is not just an opportunity but also a necessity. By implementing forward-thinking policies, the UK can not only drive economic growth but also position itself as a global leader in emerging technologies.

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