Federal agencies are increasingly considering the role that artificial intelligence (AI)—including machine learning and related technologies—can play in enforcement, adjudication, and other administrative activities. ACUS works with scholars on the forefront of AI research to explore current and potential uses of AI in the administrative process. This research will help agencies take advantage of these new tools in ways consistent with due process and other legal norms.
This page provides access to many of the publications, projects, and other materials related to AI that have been prepared by ACUS or for its consideration. It will be updated as new materials become available.
Please contact Jeremy Graboyes (jgraboyes@acus.gov) for more information or to provide additions, updates, or corrections.
Publications
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David Freeman Engstrom, Daniel E. Ho, Catherine M. Sharkey & Mariano-Florentino Cuéllar, Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies (Feb. 2020)
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Cary Coglianese, A Framework for Governmental Use of Machine Learning (draft Oct. 2020)
Projects
Forums and Events
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Symposium on Artificial Intelligence in Federal Agencies (June-July 2020)
News Releases and Blog Posts
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ACUS to Co-Host Symposium on Artificial Intelligence in Federal Agencies (June 19, 2020)
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ACUS, Stanford Law School, and NYU School of Law Announce Report on Artificial Intelligence in Federal Agencies (Feb. 18, 2020)
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ACUS Consultants to Participate in ABA Panels on AI in Enforcement and Adjudication (Nov. 8, 2019)
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Scholars Deliver Presentation on AI at 71st Plenary (June 18, 2019)
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Presentations on Artificial Intelligence at Upcoming 71st Plenary Session (June 11, 2019)
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ACUS 71st Plenary Session Will Take Place June 13 (May 28, 2019)
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ACUS Announces New Initiatives on the Use of Artificial Intelligence in the Federal Administrative Process (Nov. 28, 2018)
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Overview of the Application of Machine-Learning in Administrative Law (July 18, 2018)