News Summary

Christopher Sweet, a college student from the University of Chicago, has been appointed by the Department of Government Efficiency (DOGE) to lead an AI-driven initiative at the Department of Housing and Urban Development (HUD). This project aims to utilize artificial intelligence to review and potentially deregulate HUD’s existing rules. Sweet, who is fluent in Portuguese and has a background in economics and data science, is working alongside HUD staffers to identify regulations that could be relaxed or removed, focusing on areas like public housing. The initiative, part of a wider government deregulation effort, involves Sweet producing AI-generated recommendations for regulation revisions, which are then reviewed by HUD staff and the Office of the General Counsel. The AI model being used is expected to be refined for broader government application.