Vetoes of Defense Authorization Bills, and More from CRS
If President Obama vetoes the pending FY2016 defense authorization bill, “it would mark the fifth time since 1961, when Congress enacted the first annual defense authorization bill, that a president has vetoed that measure,” according to the Congressional Research Service. See Presidential Vetoes of Annual Defense Authorization Bills, CRS Insight, October 1, 2015.
New and updated publications from the Congressional Research Service that were issued in the past week include the following.
Overview of the FY2016 Continuing Resolution (H.R. 719), October 1, 2015
Public Health Service Agencies: Overview and Funding (FY2010-FY2016), updated October 2, 2015
DHS Appropriations FY2016: Security, Enforcement and Investigations, October 2, 2015
Poland and Its Relations with the United States: In Brief, September 30, 2015
State, Foreign Operations, and Related Programs: FY2016 Budget and Appropriations, updated October 1, 2015
U.S. Agricultural Trade with Cuba: Current Limitations and Future Prospects, updated October 1, 2015
How Treasury Issues Debt, updated October 1, 2015
Disconnected Youth: A Look at 16 to 24 Year Olds Who Are Not Working or In School, updated October 1, 2015
Kuwait: Governance, Security, and U.S. Policy, updated October 1, 2015
Yemen: Civil War and Regional Intervention, updated October 2, 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.