Data Innovation

Why the United States Needs a National Artificial Intelligence Strategy and What It Should Look Like
The United States is the global leader in developing and using artificial intelligence (AI), but it may not be for long. Succeeding in AI requires more than just having leading companies make investments. It requires a healthy ecosystem of AI companies, robust AI inputs—including skills, research, and data—and organizations that are motivated and free to use AI.
Read More >>

For a menu of actionable ideas for policymakers related to data innovation, see ITIF’s “Tech Policy To-Do List.”

Data Innovation
Check a box to narrow search for individual content items that cover numerous issues.
December 4, 2018
Why the United States Needs a National Artificial Intelligence Strategy and What It Should Look Like
The United States is the global leader in developing and using artificial intelligence (AI), but it may not be for long. Succeeding in AI requires more than just having leading companies make investments. It requires a healthy ecosystem of AI companies, robust AI inputs—including skills, research, and data—and organizations that are motivated and free to use AI.
December 4, 2018
Why It’s Time for the United States to Develop a National AI Strategy
While many nations have developed national strategies to support the development and adoption of AI, the United States has not. Join ITIF's Center for Data Innovation for the release of a new report laying out a detailed national AI strategy and a panel discussion about the ways in which policymakers can make the United States more competitive in the global AI race.
October 25, 2018
Comments to NITRD on Updates to the 2016 National AI R&D Strategic Plan
NITRD’s National AI R&D Strategic Plan is a valuable opportunity to help the United States maintain its competitive edge in the absence of a broader national AI strategy.
October 12, 2018
A Different Perspective on Big Data
At the sixth annual fall conference hosted by the Center for the Protection of Intellectual Property , Rob Atkinson participated in a panel discussing "A Different Perspective on Big Data."
September 26, 2018
Integrating Europe’s AI and Cybersecurity Strategies
The European Commission is pursuing major initiatives in artificial intelligence (AI) and cybersecurity. AI provides attackers new cybersecurity vulnerabilities, but it is also a powerful tool for automating cyber defenses.
September 25, 2018
The State of the Quantum Computing Race: A Conversation with Pioneering Australian Quantum Physicist Michelle Simmons
Quantum computing offers the extraordinary potential to analyze in minutes problems a conventional computer could take thousands of years to solve. It represents “the space race of the computing era,” and few people understand it as well as Professor Michelle Simmons.
September 13, 2018
U.S. Data Innovation Day 2018: The Future of Data-Driven Medicine
ITIF's Center for Data Innovation will host a public forum with key stakeholders from government, the private sector, and academia to discuss the latest developments in using data to improve health care outcomes, reduce health care costs, and empower patients.
August 23, 2018
How the Federal Government’s Bad Data Practices Made the Immigrant Family Separation Crisis Worse
The struggle to reunite separated families is the result of a myriad of issues, but the federal government’s poor data management made the situation worse. Federal agencies need to continue to update their practices and systems to better collect, share, and make available accurate information.
July 26, 2018
Americans Want to Share Their Medical Data. So Why Can't They?
Policymakers should make it easy for Americans to donate their medical data to science by establishing a national medical data donor registry, Eleni Manis writes for RealClearHealth.
July 25, 2018
How Countries Are Preparing for the Global AI Race
Join ITIF's Center for Data Innovation for a discussion on the various strategies countries are using to promote the development and adoption of AI.

Pages