Each year, Congress inserts language in the Legislative Branch Appropriations Act prohibiting the Congressional Research Service from “pay[ing] any salary or expense in connection with any publication” that has not been specifically approved by the House Administration Committee or the Senate Rules and Administration Committee. The intent of the language is to prevent CRS from making its products directly available to the public.
The following CRS publications obtained by Secrecy News fall under this strange prohibition, since they have not been approved for public dissemination by the House or Senate Committees (all pdf).
“Burma’s 2010 Elections: Implications of the New Constitution and Election Laws,” April 29, 2010.
“Greece’s Debt Crisis: Overview, Policy Responses, and Implications,” April 27, 2010.
“State Efforts to Deter Unauthorized Aliens: Legal Analysis of Arizona’s S.B. 1070,” May 3, 2010.
“Legislative Approaches to Defining ‘Waters of the United States’,” April 30, 2010.
“State, Foreign Operations, and Related Programs: FY2011 Budget and Appropriations,” May 5, 2010.
“Latin America and the Caribbean: Illicit Drug Trafficking and U.S. Counterdrug Programs,” April 30, 2010.
Americans are paying too much for almost everything, because the United States has long treated its trucking industry as an artifact to be preserved rather than as an opportunity for innovation.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.