Newly updated reports from the Congressional Research Service on various Department of Defense procurement programs and related issues include the following.
Navy Force Structure and Shipbuilding Plans: Background and Issues for Congress, February 24, 2015
The Army’s Armored Multi-Purpose Vehicle (AMPV): Background and Issues for Congress, February 25, 2015
Marine Corps Amphibious Combat Vehicle (ACV) and Marine Personnel Carrier (MPC): Background and Issues for Congress, February 24, 2015
Navy Ford (CVN-78) Class Aircraft Carrier Program: Background and Issues for Congress, February 24, 2015
Navy DDG-51 and DDG-1000 Destroyer Programs: Background and Issues for Congress, February 24, 2015
Navy Virginia (SSN-774) Class Attack Submarine Procurement: Background and Issues for Congress, February 23, 2015
Navy Ohio Replacement (SSBN[X]) Ballistic Missile Submarine Program: Background and Issues for Congress, February 23, 2015
Navy LX(R) Amphibious Ship Program: Background and Issues for Congress, February 23, 2015
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.