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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

Policy Analyst

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

December 17, 2024|Press Releases

House AI Report Lays the Foundation for a Clear, Credible U.S. Vision on AI Governance

Following the release of the Bipartisan House AI Task Force’s final report on how lawmakers should address AI, the Center for Data Innovation issued the following statement from Director Daniel Castro.

December 16, 2024|Press Releases

Statement on Enhancing International Collaboration on Open-Source AI Safety

The Center for Data Innovation joined global experts in Beijing to develop a statement advancing AI safety through transparency, collaboration, and reliable evaluation.

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.

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.

November 25, 2024|Blogs

Denying Copyright for AI-Assisted Art Threatens Innovation

Jason M. Allen, an artist whose AI-generated image won a digital art competition prize in 2022, recently sued the U.S. Copyright Office for rejecting his application for copyright of the image. In its refusal to grant copyright protection to Allen’s work—which he created using 624 prompts on the generative AI platform Midjourney—the Copyright Office argued that the artist’s creative process to generate the award-winning image did not meet the criteria for “human authorship as we understand it.”

November 21, 2024|Presentations

The Economic Potential of Artificial Intelligence

Hodan Omaar speaks about the economic potential of AI in the United States at a panel discussion hosted by Microsoft.

November 21, 2024|Events

How Policymakers Should Navigate Tensions in Global AI Governance

Watch now for a timely discussion by The Center for Data Innovation and The Asia Group on how AI governance is unfolding globally, the key tensions shaping global regulations, and what these developments mean in the United States, the Indo-Pacific, and beyond.

November 21, 2024|Presentations

From Data Policy to Practice: Bridging the Gap

Daniel Castro speaks at a webinar on the national and international policies shaping data management and use hosted by EMPOWER, a research programme sponsored by Science Foundation Ireland.

November 18, 2024|Blogs

Key Facts Missing in the Creative Community’s Statement on Unlicensed AI Training

Thousands of creators signed a statement opposing AI's unlicensed use of creative works, calling it a threat to livelihoods. But this overlooks that AI training uses public data within established norms, creators resist adapting to change, and copyright already protects against unauthorised use.

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