How DoD Acquires Weapon Systems, and More from CRS
New and updated reports from the Congressional Research Service that Congress has withheld from online public distribution include the following.
Defense Acquisitions: How DOD Acquires Weapon Systems and Recent Efforts to Reform the Process, May 23, 2014
Defense Acquisition Reform: Background, Analysis, and Issues for Congress, May 23, 2014
U.S. Air Force Bomber Sustainment and Modernization: Background and Issues for Congress, June 4, 2014
The Number of Veterans That Use VA Health Care Services: A Fact Sheet, June 3, 2014
Federal Research and Development Funding: FY2015, June 2, 2014
U.S. Circuit and District Court Nominations: Senate Rejections and Committee Votes Other Than to Report Favorably, 1939-2013, May 29, 2014:
Corporate Expatriation, Inversions, and Mergers: Tax Issues, May 27, 2014
Federal Building and Facility Security: Frequently Asked Questions, May 28, 2014
Deployable Federal Assets Supporting Domestic Disaster Response Operations: Summary and Considerations for Congress, May 16, 2014
The Presidential Records Act: Background and Recent Issues for Congress, May 30, 2014
Egypt: Background and U.S. Relations, June 5, 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.