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Center for Data Innovation

Center for Data Innovation

ITIF’s Center for Data Innovation formulates and promotes pragmatic public policies designed to maximize the benefits of data-driven innovation in the public and private sectors. It educates policymakers and the public about the opportunities and challenges associated with data, as well as technology trends such as open data, artificial intelligence, and the Internet of Things. For more, get the Center’s weekly emails and visit datainnovation.org.

Featured Publications

How Experts in China and the United Kingdom View AI Risks and Collaboration

How Experts in China and the United Kingdom View AI Risks and Collaboration

As AI continues to advance, the technology has created many opportunities and risks. Despite significant geopolitical differences, a series of interviews with AI experts in China and the United Kingdom reveals common AI safety priorities, shared understanding of the benefits and risks of open source AI, and agreement on the merits of closer collaboration—but also obstacles to closer partnerships.

How Generative AI Is Changing the Global South’s IT Services Sector

How Generative AI Is Changing the Global South’s IT Services Sector

Given the potential for countries to reshore and automate previously outsourced IT occupations, the Global South’s IT services appear vulnerable to the displacing effects of AI. Yet, existing policy responses may be insufficient to address that challenge.

What Does the US Public Think About AI?

What Does the US Public Think About AI?

In a nationally representative survey of more than 2,000 U.S. adults, Public First and the Center for Data Innovation track public attitudes and perceptions of artificial intelligence.

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.

Rethinking Concerns About AI’s Energy Use

Rethinking Concerns About AI’s Energy Use

Concerns about the energy used by digital technologies are not new. With the recent surge in interest in artificial intelligence, people are once again raising questions about the energy use of an emerging technology.

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Events

November 21, 2024

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.

May 21, 2024

Insights on US Public Opinion on AI

Watch now for a Capitol Hill event covering an in-depth survey by ITIF’s Center for Data Innovation and Public First about what of Americans thinks about AI, how these views have shifted over the past year, and the implications of these beliefs for businesses, policymakers, and society at large.

May 15, 2024

How Can Policymakers Address AI Voice-Cloning Scams?

Watch now for a panel discussion exploring how threats from AI voice cloning are likely to develop, what countermeasures exist, and actionable steps policymakers can take to address both national and international threats.

April 24, 2024

Harnessing AI for Carbon Neutrality

Watch now for a panel discussion to explore the current landscape of AI applications in transitioning to a greener economy, identify key areas ripe for further exploration, and discuss actionable policy measures to foster innovation and adoption.

April 16, 2024

How Can the UK Encourage the Uptake of AI in the Public Sector?

Watch now for a panel discussion exploring the hurdles impeding the widespread adoption of AI in the public sector and examining actionable steps to empower and facilitate the sector in harnessing the benefits of this cutting-edge technology.

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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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Hodan Omaar
Hodan Omaar

Senior Policy Manager

Center for Data Innovation

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More From the Center

November 12, 2024|Blogs

For Trump, Delivering for Voters Means Delivering on AI

If President-elect Trump wants AI to be a meaningful part of his legacy, he’ll need to focus on delivering the promise of his 2019 initiative, which pledged “AI for the American people.” That will require a clear agenda to accelerate adoption, prioritize innovation, and ensure the diffusion of AI’s benefits across the entire country.

November 4, 2024|Blogs

California’s AI Transparency Law Is a Misstep Other States Should Avoid

California often sets the tone for national policy, but the recently passed AI Transparency Act (SB 942) is an example of what not to do.

October 29, 2024|Blogs

Latest FTC Warning About Algorithmic Pricing Runs Counter to Facts

Federal Trade Commission (FTC) Chair Lina Khan is once again stoking unsubstantiated fears about algorithmic pricing—the practice of using algorithms to offer customers different prices based on dynamic market conditions—but this time, her examples are even more outlandish.

October 25, 2024|Blogs

National Security Reminds Policymakers What Is at Stake for the United States in the Global AI Race

On October 24, 2024, President Biden signed a National Security Memorandum governing the use of AI for national security. Overall, it demonstrates that the Biden administration takes the threat of the United States losing the global AI race seriously and recognizes the serious repercussions of falling behind for national security. It serves as a reminder to policymakers about what is at stake

October 18, 2024|Blogs

Audio Watermarking Won’t Solve the Real Dangers of AI Voice Manipulation

Audio watermarking won’t mitigate the risks associated with AI-generated voice cloning. The challenge isn’t only technical but also social—how people consume and trust media.

October 11, 2024|Testimonies & Filings

Comments to the Bureau of Industry and Security's Proposed Rule to Establish AI Reporting Requirements

To avoid disadvantaging and stifling open-source AI, BIS should consider adjustments of reporting for open-source models, allowing for the continued growth of innovation while ensuring the necessary security oversight.

October 10, 2024|Op-Eds & Contributed Articles

California Legislators Are Not Equipped to Rework Their AI Law

Legislators currently lack the necessary information about how harms from AI systems may materialize and evolve in the real world to design truly effective regulations.

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