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
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.
Vice President and Director, Center for Data Innovation
Information Technology and Innovation Foundation
Read Bio
More From the Center
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.
February 13, 2025|Blogs
Reevaluating US AI Strategy Against China
Recent developments, including DeepSeek’s notable successes, have cast doubt on the effectiveness of the U.S. export control policy and show how U.S. firms may ultimately pay the price unless the Trump administration takes a new approach.
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 has two choices after ending de minimis treatment for imports from China: Either turn Customs and Border Patrol into the largest federal agency, or make it a leader in government technology. In the age of AI, the right path is obvious.
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.
