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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

Why AI-Generated Content Labeling Mandates Fall Short

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.

Digital Transformation Should Be at the Heart of the UK’s Economic Agenda

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.

From Cart to Claim: Addressing Product Liability in Online Marketplaces

From Cart to Claim: Addressing Product Liability in Online Marketplaces

State product liability laws traditionally hold manufacturers, distributors, and sellers strictly liable for defective products they bring to market. As consumers increasingly make purchases from online marketplaces—platforms that aggregate products from multiple third-party sellers—new questions arise about how to best protect them from defective products that pose a risk to health and safety.

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

May 13, 2025

How Americans Feel About AI—and Why It Matters for Policy

Watch now for a timely discussion by ITIF's Center for Data Innovation and Public First surrounding new polling data exploring how U.S. public sentiment toward AI is evolving. The conversation unpacks where Americans see promise or peril, how their views have shifted over the past year, and what these perspectives mean for lawmakers, business leaders, and the future of AI policy.

April 17, 2025

Is U.S. Policy Ready for Agentic AI?

Watch now for a panel discussion by ITIF's Center for Data Innovation 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

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.

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.

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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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Matthew Kilcoyne
Matthew Kilcoyne

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

June 14, 2025|Blogs

State Data-Driven Pricing Bans Would Backfire on Consumers

State bans on data-driven pricing could backfire by eliminating personalized discounts that help consumers. A better approach is enforcing existing laws, passing federal privacy rules, and clarifying what fair pricing looks like.

June 11, 2025|Press Releases

Government Stands Firm on AI and Copyright as Much Needed Data Bill Passes, Says CDI

Following the passage of the Data Use and Access Bill, the Center for Data Innovation released the following statement from Ayesha Bhatti, head of digital policy for the UK and EU.

June 6, 2025|Testimonies & Filings

Comments to the European Commission Regarding Future Cloud and AI Policies in the EU

It is critical that, in tackling both these issues, the EU avoids engaging in digital protectionism, which would harm European competitiveness further.

June 6, 2025|Testimonies & Filings

Comments to the European Commission Regarding Its “Apply AI Strategy”

The Center welcomes the European Commission’s ambition to accelerate the uptake of AI across the economy and public sector as part of its broader AI continent action plan.

June 2, 2025|Commentary

Germany’s New Digital Ministry Will Make or Break the Government’s AI Ambitions

Germany’s new coalition government has created a central digital ministry to finally accelerate its slow-moving AI agenda, aiming to modernize public services and support AI innovation. But success hinges on whether it prioritizes practical reform over symbolic sovereignty, especially amid EU regulations and global competition.

May 30, 2025|Op-Eds & Contributed Articles

Fragmented AI Laws Will Slow Federal IT Modernization in the US

Fragmented and conflicting state AI regulations threaten to slow federal IT modernization, and a proposed 10-year moratorium aims to create a unified national framework to support innovation and maintain U.S. leadership in AI.

May 28, 2025|Testimonies & Filings

Comments to OSTP and NITRD on Development of a National Artificial Intelligence R&D Strategic Plan

The Center for Data Innovation urges the U.S. to refocus its federal AI R&D strategy on unlocking AI’s full potential by emphasizing deployment over harm prevention, linking technical design to real-world performance outcomes, and investing in the generation of high-quality, representative data to drive innovation and public benefit.

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