Intelligence Community Spending, & More from CRS
In a deeply fractured political environment, the work of the Congressional Research Service may be even more valuable than ever. Non-partisan to a fault, CRS provides the same policy analysis to Republicans and Democrats, to problem-solvers and to nihilists. CRS reports can therefore help to establish a common framework for debate, and a shared vocabulary for discussion. They are at least a place to start a conversation.
One newly updated CRS report “examines Intelligence Community (IC) funding over the past several decades, with an emphasis on the period from 2007-2017.” See Intelligence Community Spending: Trends and Issues by Anne Daugherty Miles, November 8, 2016.
It was issued along with a new companion report on the structure and management of U.S. intelligence. See Intelligence Community Programs, Management, and Enduring Issues, also by Anne Miles, November 8, 2016.
Other new and updated Congressional Research Service reports include the following.
Internet Gambling: Policy Issues for Congress, November 7, 2016
Afghanistan: Post-Taliban Governance, Security, and U.S. Policy, updated November 8, 2016
Cuba: Issues for the 114th Congress, updated November 8, 2016
FY2017 Defense Spending Under an Interim Continuing Resolution (CR): In Brief, updated November 7, 2016
Women in Congress, 1917-2016: Biographical and Committee Assignment Information, and Listings by State and Congress, updated November 7, 2016
Drinking Water State Revolving Fund (DWSRF): Program Overview and Issues, updated November 8, 2016
Youth Transitioning from Foster Care: Background and Federal Programs, updated November 8, 2016
What Is the Farm Bill?, updated November 8, 2016
When Does Sovereign Immunity Protect Property Owned by State Sponsors of Terrorism?, CRS Legal Sidebar, November 8, 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.