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Report on Artificial Intelligence in Federal Agencies

Washington, D.C., Stanford, Calif., and New York, February 18, 2020 — The Administrative Conference of the United States (ACUS), Stanford Law School, and New York University School of Law are pleased to announce the release of a major report exploring federal agencies’ use of artificial intelligence (AI) to carry out administrative law functions. This is the most comprehensive study of the subject ever conducted in the United States. The report, entitled Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies, examines the growing role that machine learning and other AI technologies are playing in federal agency adjudication, enforcement, and other regulatory activities. Based on a wide-ranging survey of federal agency activities and interviews with federal officials, the report maps current uses of AI technologies in federal agencies, highlights promising uses, and addresses challenges in assuring accountability, transparency, and non-discrimination. Stanford Law School Professors David Freeman Engstrom and Daniel Ho, NYU Law Professor Catherine Sharkey, and California Supreme Court Justice Mariano-Florentino Cuéllar served as principal advisors on the report. They received research assistance from 30 Stanford law, computer science, and engineering students, and five NYU Law students, who participated in the Spring 2019 Stanford policy lab, Administering by Algorithm: Artificial Intelligence in the Regulatory State. Stanford’s Institute for Human-Centered Artificial Intelligence, with which Engstrom, Ho, and Cuéllar are affiliated, also provided seed funding for the report…”

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