The administration should develop a national AI roadmap that outlines sector-specific opportunities and barriers, as well as a detailed strategy for achieving widespread adoption in each of these sectors.

To Do: Create a National Roadmap for AI Adoption

Congress should direct the Economic Development Administration to encourage state governments to foster AI industry development.

To Do: Encourage States to Foster AI Industry Development

The White House should direct federal agencies to support the development of shared pools of high-quality, application-specific training and validation data in key areas of public interest.

To Do: Develop Shared Pools of High-Quality, App-Specific Training and Validation Data

The White House is developing a national artificial intelligence strategy to “chart a path for the United States to harness the benefits and mitigate the risks of AI.” Previous administrations and Congress have taken some steps toward this in the past, but those efforts did not go far enough.

Three Guidelines for Crafting a Strong Federal AI Policy

Businesses, government agencies, and researchers often avoid sharing data that would be mutually beneficial due to concerns about its sensitive or proprietary nature. Federal agencies can remedy this by establishing a framework of “data trusts” with clearly defined rights and responsibilities.

To Do: Develop and Pilot “Data Trusts”

To Do: Develop and Pilot "Data Trusts"

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. 

Comments to the Office of Science and Technology Policy on the Development of an AI Action Plan

The 117th Congress was the most AI-focused congressional session in history with 130 AI bills proposed, so it is a good moment to take stock of U.S. AI policy accomplishments to date and identify areas where there is room for continued progress.

US AI Policy Report Card

In testimony before the Senate Commerce Subcommittee on Communications, Technology, Innovation, and the Internet, ITIF’s Daniel Castro discusses the importance of artificial intelligence to the U.S. economy and how best to govern it.

Digital Decision-Making: The Building Blocks of Machine Learning and Artificial Intelligence

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.

To Do: Develop Sector-Specific AI Strategies

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Why the United States Needs a National Artificial Intelligence Strategy and What It Should Look Like

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To Do: Create a National Roadmap for AI Adoption

To Do: Encourage States to Foster AI Industry Development

To Do: Develop Shared Pools of High-Quality, App-Specific Training and Validation Data