Independent Bids for President, and More from CRS
New and updated reports from the Congressional Research Service that have been withheld from online public distribution include the following.
Independent Bids for President, CRS Legal Sidebar, January 6, 2016
The Presidential Nominating Process and the National Party Conventions, 2016: Frequently Asked Questions, updated December 30, 2015
H.R. 1927: Congress Proposes Additional Prerequisite for Class-Action Certification, CRS Legal Sidebar, January 5, 2016
The Animal Welfare Act: Background and Selected Animal Welfare Legislation, updated January 5, 2016
Water Quality Issues in the 114th Congress: An Overview, updated January 5, 2016
Congress and the U.S. Army Corps of Engineers in 2016, CRS Insight, January 5, 2016
Use of the Annual Appropriations Process to Block Implementation of the Affordable Care Act (FY2011-FY2016), January 5, 2016
EPA and the Army Corps’ Proposed Rule to Define “Waters of the United States”, January 4, 2016
Navy Littoral Combat Ship (LCS)/Frigate Program: Background and Issues for Congress, updated January 5, 2016
U.S.-Mexican Security Cooperation: the Mérida Initiative and Beyond, updated January 5, 2016
State, Foreign Operations Appropriations: A Guide to Component Accounts, updated January 5, 2016
The Motion to Recommit in the House of Representatives, January 6, 2016
Using Data to Improve Defense Acquisitions: Background, Analysis, and Questions for Congress, January 5, 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.