Last June, the White House issued a set of proposals to reform and reorganize government functions in dozens of executive branch agencies. The proposals range from cosmetic (e.g., renaming the Department of Health and Human Services) to substantial (e.g., combining the Departments of Labor and Education) with significant implications for domestic and foreign policy, as well as for national security.
A memorandum prepared by the Congressional Research Service provides brief summaries and analyses of the most important proposals, assessing their feasibility and describing the uncertainties involved. See Trump Administration Reform and Reorganization Plan: Discussion of 35 “Government-Wide” Proposals, CRS memorandum, July 25, 2018.
New and updated reports issued by the Congressional Research Service last week include the following.
Air Force B-21 Raider Long Range Strike Bomber, updated October 12, 2018
Religious Intolerence [sic] in Indonesia, CRS In Focus, October 10, 2018
Post-election Issues in Bosnia and Herzegovina, CRS Insight, October 11, 2018
Hurricane Michael: Brief Overview of FEMA Programs and Resources, CRS Insight, updated October 11, 2018
Temporary Protected Status: Overview and Current Issues, updated October 10, 2018
Vehicle Fuel Economy and Greenhouse Gas Standards, CRS In Focus, updated October 11, 2018
Expiration of the 2014 Farm Bill, October 11, 2018
House Passes Bill to Amend the Federal “Crime of Violence” Definition, CRS Legal Sidebar, October 11, 2018
Deference and its Discontents: Will the Supreme Court Overrule Chevron?, CRS Legal Sidebar, October 11, 2018
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.