New and updated reports from the Congressional Research Service that were issued last week include the following.
Federal Conspiracy Law: A Brief Overview, updated January 20, 2016
Methods of Estimating the Total Cost of Federal Regulations, January 21, 2016
Judicial Redress Act 101 — What to Know as Senate Contemplates Passing New Privacy Law, CRS Legal Sidebar, January 21, 2016
TransCanada to Seek $15 Billion in NAFTA Lawsuit over Denial of Keystone XL Permit Request, CRS Legal Sidebar, January 19, 2016
EPA and the Army Corps’ Proposed “Waters of the United States” Rule: Congressional Response and Options, updated January 20, 2016
The Glass-Steagall Act: A Legal and Policy Analysis, January 19, 2016
Congress and the Budget: 2016 Actions and Events, January 19, 2016
GAO Bid Protests: An Overview of Timeframes and Procedures, updated January 19, 2016
“Regulatory Relief” for Banking: Selected Legislation in the 114th Congress, updated January 19, 2016
Money for Something: Music Licensing in the 21st Century, updated January 19, 2016
Comparing DHS Appropriations by Component, FY2016: Fact Sheet, updated January 20, 2016
Iran: U.S. Economic Sanctions and the Authority to Lift Restrictions, updated January 22, 2016
The Fight Against Al Shabaab in Somalia in 2016, CRS Insight, January 19, 2016
Latin America and the Caribbean: Key Issues for the 114th Congress, updated January 20, 2016
The U.S. Military Presence in Okinawa and the Futenma Base Controversy, updated January 20, 2016
The European Union: Questions and Answers, updated January 19, 2016
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.