Federal Prison Population Buildup, and More from CRS
New and updated reports from the Congressional Research Service that have not been made publicly available online include the following.
The Federal Prison Population Buildup: Options for Congress, May 20, 2016
Zika Response Funding: Request and Congressional Action, May 20, 2016
Pay Equity: Legislative and Legal Developments, May 20, 2016
The Comprehensive Addiction and Recovery Act of 2016 (S. 524): Comparison of Senate- and House-Passed Versions, May 23, 2016
FHFA’s Administrative Reform of Fannie Mae, Freddie Mac, and the Housing Finance System, May 23, 2016
DOT’s Federal Pipeline Safety Program: Background and Key Issues for Congress, May 20, 2016
Treasury Issues White Paper on Fintech and Marketplace Lending, CRS Insight, May 20, 2016
United States Lifts Remaining Restrictions on Arms Sales to Vietnam, CRS Insight, May 23, 2016
U.S.-Vietnam Economic and Trade Relations: Issues for the 114th Congress, May 20, 2016
Honduras: Background and U.S. Relations, May 23, 2016
A Resurgence of Unaccompanied Alien Children?, CRS Insight, May 20, 2016
Navy Force Structure and Shipbuilding Plans: Background and Issues for Congress, May 23, 2016
Navy Virginia (SSN-774) Class Attack Submarine Procurement: Background and Issues for Congress, May 20, 2016
Navy DDG-51 and DDG-1000 Destroyer Programs: Background and Issues for Congress, May 20, 2016
Navy Littoral Combat Ship (LCS)/Frigate Program: Background and Issues for Congress, May 20, 2016
Navy Ohio Replacement (SSBN[X]) Ballistic Missile Submarine Program: Background and Issues for Congress, May 20, 2016
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.