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
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
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?
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
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
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.
Events
April 17, 2025
Is U.S. Policy Ready for Agentic AI?
Join the Center for Data Innovation for a panel discussion on what the rise of agentic AI means for innovation, competition, and policy, how prepared the United States is to keep pace, and what policy shifts might be needed to ensure consumers and businesses can successfully develop and deploy AI agents.
April 8, 2025
Why the UK Needs a Broad Text and Data Mining Exception to Support AI Innovation
Join ITIF's Center for Data Innovation for a discussion on the potential consequences of the UK government’s proposed option and how creating a more permissive text and data mining exception would advance the UK’s goals of being competitive in AI without undermining the rights of creators.
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.
Vice President and Director, Center for Data Innovation
Information Technology and Innovation Foundation
Read Bio
More From the Center
March 24, 2025|Blogs
Virginia’s AI Bill Is a Misfire
Virginia Governor Glenn Youngkin will decide on HB 2094, a flawed AI bill with inconsistent rules and unworkable enforcement. Signing it would add to a costly patchwork of state laws without improving outcomes.
March 14, 2025|Testimonies & Filings
Comments to the Office of Science and Technology Policy on the Development of an AI Action Plan
The Center for Data Innovation outlined seven policy priorities we believe to be most critical for the AI Action Plan, along with specific actions the administration should take.
March 6, 2025|Blogs
AI Is Key to Trump’s Education Overhaul
Education Secretary Linda McMahon proposed eliminating the Department of Education by cutting federal bureaucracy to empower state-led innovation, but true transformation in American education requires a national commitment to investing in AI-driven personalized learning.
February 28, 2025|Blogs
Protectionism Will Hold Back Europe’s Innovation
If the European Commission truly wants innovation-led growth, it should abandon the idea that protection equals prosperity.
February 25, 2025|Testimonies & Filings
Comments to the UK Government on Proposed Changes to the Copyright, Design, and Patents Act 1988
The Center for Data Innovation submitted these comments to the UK government’s Intellectual Property Office, Department for Science, Innovation and Technology, and Department for Culture, Media and Sport on its consultation on proposed changes to the UK’s copyright regime, the Copyright, Design, and Patents Act (CDPA) 1988.
February 21, 2025|Testimonies & Filings
Comments to the California Privacy Protection Agency’s Proposed AI Regulations
The California Privacy Protection Agency (CPPA) has proposed regulations that would impose new requirements on businesses using automated decision-making technology.
February 20, 2025|Blogs
Selective Outrage Over AI and Copyright
The UK’s copyright system has long prioritized economic interests over creators’ control, allowing industries to learn from creative works without permission. Critics now opposing AI training have benefited from these same principles. A fair debate should acknowledge this precedent rather than selectively restricting AI.
