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For the project report click here: https://www.acus.gov/report/project-report-recommendation-88-10
The rapid evolution of computer technology raises many economic and policy issues that affect the acquisition and release of information by government agencies. New information technologies can improve...
This is a draft of a report by Professor Cary Coglianese exploring considerations relevant to governments' use of machine learning tools.
This is the final version of a report commissioned by the Conference to study how agencies acquire artificial intelligence (AI) systems and oversee their use. It 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...
This is the appendix to the Government by Algorithm report.
This is the agenda for the October 23, 2020 meeting of the Conference's Ad Hoc Committee on Agency Use of Artificial Intelligence.
This is the agenda for the November 9, 2020 meeting of the Conference's Ad Hoc Committee on Agency Use of Artificial Intelligence.
This is a draft statement on agency use of artificial intelligence. It was prepared by Conference staff and posted to this webpage without first having been reviewed by the members of the Conference's Ad Hoc Committee on Agency Use of Artificial Intelligence or the consultants assisting the committee with its work. It was meant only to serve as a starting point for discussion at the committee'...
This is a draft statement on agency use of artificial intelligence that was published on November 20, 2020. It was meant to modify the previous draft statement on agency use of artificial intelligence, consistent with comments from members of ACUS's Ad Hoc Committee on Argency Use of Artificial Intelligence. It was not reviewed by the full committee before being posted to this webpage.
