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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

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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Eli Clemens
Eli Clemens

Policy Analyst

Center for Data Innovation

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Hodan Omaar
Hodan Omaar

Senior Policy Manager

Center for Data Innovation

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More From the Center

February 6, 2025|Blogs

CBP Should Leverage AI, Not More Staff, To Manage the Surge in Inspections After Partial End to De Minimis Exception

The Trump administration ended de minimis treatment for imports from China, eliminating the exemption that allowed shipments under $800 to enter the U.S. duty-free with minimal oversight. To prevent bottlenecks and ensure effective enforcement, the administration should invest in AI solutions to help CBP efficiently screen low-value shipments from China.

January 30, 2025|Blogs

DeepSeek Is a Reality Check Washington Can’t Afford to Get Wrong

DeepSeek’s breakthrough is a wake-up call that China’s AI capabilities are advancing faster than Western conventional wisdom has acknowledged.

January 26, 2025|Blogs

Texas’s AI Law Won’t Deliver the Accountability It Promises

The bill’s heavy-handed approach risks creating more problems than it solves, prioritizing bureaucratic hurdles over meaningful progress in fairness and accountability.

January 17, 2025|Blogs

It’s Time the United States 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 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 6, 2025|Testimonies & Filings

Comments to UK Home Office’s Consultation on the Codes of Practice for the Investigatory Powers (Amendment) Act 2024

The IPA has garnered significant attention from a host of tech companies due to new requirements to notify the Secretary of State of “relevant changes” to their systems that could potentially impede government access.

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.

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