Executive Order 13960, Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government, states that agencies shall be transparent in disclosing relevant information regarding their use of AI to appropriate stakeholders, including the Congress and the public, to the extent practicable and in accordance with applicable laws and policies.
Consistent with this principle of transparency, EO 13960 directed agencies to conduct an annual inventory of their AI use cases, and to publish them to the extent possible. As specified by EO 13960, agencies’ inventories are not required to include AI use cases that are classified, sensitive, used in defense or national security systems, used by the Department of Defense or Intelligence Community, embedded within common commercial products, or used for AI research and development activities.
To help standardize this work across agencies, the Federal Chief Information Officers Council provided guidance to agencies on how to conduct their inventories. These standardized inventories are intended to help agencies identify similar AI use cases across the Government, so that agencies can share and re-use methodologies, technologies, and best practices. In turn, this should help agencies use AI more effectively and equitably, while also saving taxpayer money.
Agencies began publishing their first annual inventories in June 2022 and the following months. Inventories published to date include:
- Department of Agriculture
- Department of Commerce
- Department of Education
- Department of Energy
- Department of Health and Human Services
- Department of Homeland Security
- Department of Housing and Urban Development
- Department of Interior
- Department of Justice
- Department of Labor
- Department of State
- Department of Transportation
- Department of Treasury
- Department of Veterans Affairs
- National Science Foundation
- Social Security Administration
- U.S. Agency for International Development
- U.S. Environmental Protection Agency
- U.S. General Services Administration