US Military Casualty Statistics, and More from CRS
Noteworthy new and updated reports from the Congressional Research Service that Congress has withheld from online public distribution include the following.
A Guide to U.S. Military Casualty Statistics: Operation Inherent Resolve, Operation New Dawn, Operation Iraqi Freedom, and Operation Enduring Freedom, November 20, 2014
Iran: U.S. Economic Sanctions and the Authority to Lift Restrictions, November 21, 2014
U.S. Secret Service Protection Mission Funding and Staffing: Fact Sheet, November 25, 2014
The Obama Administration’s November 2014 Immigration Initiatives: Questions and Answers, November 24, 2014
The Obama Administration’s Announced Immigration Initiative: A Primer, CRS Legal Sidebar, November 24, 2014
Department of Homeland Security: FY2015 Appropriations, November 20, 2014
Congress Faces Calls to Address Expiring ACA Appropriations, CRS Insights, November 25, 2014
U.S. Greenhouse Gas Emissions: Recent Trends and Factors, November 24, 2014
Cybersecurity: FISMA Reform, CRS Insights, November 24, 2014
Welfare, Work, and Poverty Status of Female-Headed Families with Children: 1987-2013, November 21, 2014
Overview of the Federal Tax System, November 21, 2014
Food Recalls and Other FDA Administrative Enforcement Actions, November 20, 2014
A Federal Pause in Potentially Risky Influenza Research, CRS Insights, November 24, 2014
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.