Data Innovation
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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. 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.
Vice President and Director, Center for Data Innovation
Information Technology and Innovation Foundation
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Featured
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.
Exploring Data-Sharing Models to Maximize Benefits From Data
Data-driven innovation has the potential to be a massive force for progress. Data sharing enables organizations to increase the utility and value of the data they control and gain access to additional data controlled by others.
Overcoming Barriers to Data Sharing in the United States
Without policy change, the United States will continue trending toward data siloes—an inefficient world in which data is isolated, and its benefits are restricted.
Digital Equity 2.0: How to Close the Data Divide
Unlike the digital divide, many ignore the data divide or argue that the way to close it is to collect vastly less data. But without substantial efforts to increase data representation and access, certain individuals and communities will be left behind in an increasingly data-driven world.
More Publications and Events
April 11, 2025|Blogs
Three Steps Trump Should Take to Advance Government AI Adoption
The Office of Management and Budget (OMB) issued two memos aimed at accelerating AI adoption across the federal government. But that vision won’t materialize unless other parts of the administration stop pulling in opposite directions or failing to act altogether.
April 8, 2025|Events
Why the UK Needs a Broad Text and Data Mining Exception to Support AI Innovation
Watch now for the Center for Data Innovation's 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.
April 8, 2025|Blogs
Protect Data Without Undermining Its Value
Congress should craft federal privacy legislation that protects consumers without undermining the responsible use of data that drives innovation, supports small businesses, and fuels economic growth. A balanced approach—emphasizing clear rules, transparency, and compliance over punitive enforcement—will safeguard privacy while preserving data’s value to society.
April 4, 2025|Blogs
CPSC Should Leverage AI to Modernize Product Safety
To modernize enforcement, the Consumer Product Safety Commission (CPSC) should use AI to analyze real-time and historical data, allowing it to predict and address risks in e-commerce supply chains before harm occurs.
March 30, 2025|Blogs
US AI Policy Is Stuck in Training Mode
U.S. AI policy prioritizes training compute while overlooking inference—the compute needed to deploy models effectively. As AI progress shifts toward optimizing inference, policymakers must adapt by supporting global deployment, refining export controls, and promoting energy-efficient AI to maintain U.S. competitiveness.
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.
March 3, 2025|Events
Tech Policy 202: Spring 2025 Educational Seminar Series for Congressional and Federal Staff
ITIF’s spring seminar course explores core emerging technologies and issues that are reshaping our world and, in the process, creating public policy challenges and opportunities. The course is open to congressional and federal staff only.
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.
