The Congressional Research Service has updated several of its reports on Navy ship and submarine programs:
Navy DDG-51 and DDG-1000 Destroyer Programs: Background and Issues for Congress, December 17, 2015
Navy Littoral Combat Ship (LCS)/Frigate Program: Background and Issues for Congress, December 17, 2015
Navy Virginia (SSN-774) Class Attack Submarine Procurement: Background and Issues for Congress, December 17, 2015
Navy Ford (CVN-78) Class Aircraft Carrier Program: Background and Issues for Congress, December 17, 2015
Navy TAO(X) Oiler Shipbuilding Program: Background and Issues for Congress, December 17, 2015
Navy LX(R) Amphibious Ship Program: Background and Issues for Congress, December 17, 2015
Navy Ohio Replacement (SSBN[X]) Ballistic Missile Submarine Program: Background and Issues for Congress, December 17, 2015
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.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.