The White House should direct federal agencies to develop sector-specific AI strategies to spur AI adoption and development in industry.

To Do: Develop Sector-Specific AI Strategies

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 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

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

To ensure the federal government does not waste tax dollars on ineffective or biased systems, Congress should direct GSA to work with NIST to set performance standards for facial recognition technology procured by the federal government.

To Do: Set Performance Standards for Federal Facial Recognition Technology

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 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

To protect individuals while preserving the open information ecosystem that supports innovation, policymakers should focus on outputs rather than training inputs, encourage transparency norms for autonomous AI agents, and create a safe harbor for responsible use of publicly available data.

How Rules for Publicly Available Data Are Shaping the Future of AI

The Center for Data Innovation filed comments in response to a request for information from the Office of Management and Budget on identifying priority access or quality improvements for federal data and models for artificial intelligence (AI) research and development (R&D) and testing.

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

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Editors’ Recommendations

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

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To Do: Develop Sector-Specific AI Strategies

To Do: Develop and Pilot “Data Trusts”

To Do: Create a National Roadmap for AI Adoption