The Administrative Conference of the United States (ACUS) commissioned this report, which includes: a rigorous canvass of AI use at the 142 most significant Federal departments, agencies, and sub-agencies; a series of in-depth but accessible case studies of specific AI applications at seven leading agencies covering a range of governance tasks; and a set of cross-cutting analyses of the institutional, legal, and policy challenges raised by agency use of AI.
Name in original language
Government by Algorithm: AI in Federal Administrative Agencies
Initiative overview
This report offers three cuts at Federal agency use of AI: a rigorous canvass of AI use at the 142 most significant Federal departments, agencies, and sub-agencies (Part I); a series of in-depth but accessible case studies of specific AI applications at seven leading agencies covering a range of governance tasks (Part II); and a set of cross-cutting analyses of the institutional, legal, and policy challenges raised by agency use of AI (Part III). Taken together, these analyses yield five main findings.First, the government's AI toolkit is diverse and spans the Federal administrative state.Second, and despite wide agency embrace of AI, the government still has a long way to go.Third, AI poses deep accountability challenges.Fourth, if people expect agencies to make responsible and smart use of AI, technical capacity must come from within.Fifth, AI has the potential to raise distributive concerns andfuel political anxieties.The initiative has the following objective(s):To map how Federal agencies are currently using AI to make and support decisions.To address how AI implicates core regulations and laws.To highlight potential uses of AI in Federal agencies.
Name of responsible organisation (in English)
Administrative Conference of the United States (ACUS)
