{"id":2,"date":"2022-06-10T19:37:07","date_gmt":"2022-06-10T19:37:07","guid":{"rendered":"https:\/\/pennreg.org\/optimizing-government\/?page_id=2"},"modified":"2023-03-15T18:33:58","modified_gmt":"2023-03-15T18:33:58","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/pennreg.org\/optimizing-government\/","title":{"rendered":""},"content":{"rendered":"
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The Optimizing Government Project drew together researchers from across the University of Pennsylvania and the Philadelphia area to collaborate on studying the implementation of machine learning by government.<\/strong><\/p>\n\n\n\n

The project aimed to assess the technical, legal, ethical, and political challenges associated with machine learning in government, promoting collaboration between government, the private sector, and the academy.<\/p>\n\n\n\n

The project was centrally organized around seven major workshops held during the 2016-2017 academic year. This project website archives video recordings of each workshop. It also contains a variety of research papers and other resources related to governmental use of artificial intelligence.<\/p>\n\n\n\n

The project was initiated and led by Cary Coglianese<\/a> of the University of Pennsylvania Law School and the Penn Program on Regulation, in collaboration with other Penn faculty.<\/p>\n\n\n\n

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Workshops<\/h2>\n\n\n\n
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What is Machine Learning (and Why Might it be Unfair)?<\/a><\/em>
Thurs., September 22, 2016,<\/strong> 4:30-6:00 pm<\/p>\n\n\n\n