Rare Earth Elements in National Defense, and More from CRS
New and updated reports from the Congressional Research Service obtained by Secrecy News include the following.
Rare Earth Elements in National Defense: Background, Oversight Issues, and Options for Congress, September 17, 2013
Chemical Weapons: A Summary Report of Characteristics and Effects, September 13, 2013
North Korea: U.S. Relations, Nuclear Diplomacy, and Internal Situation, September 13, 2013
Federal Climate Change Funding from FY2008 to FY2014, September 13, 2013
Climate Change Legislation in the 113th Congress, September 16, 2013
Federal Permitting and Oversight of Export of Fossil Fuels, September 17, 2013
Expiration and Extension of the 2008 Farm Bill, September 16, 2013
Guam: U.S. Defense Deployments, September 12, 2013
Russian Political, Economic, and Security Issues and U.S. Interests, September 13, 2013
The Supplemental Nutrition Assistance Program: Categorical Eligibility, September 17, 2013
Ticket to Work and Self-Sufficiency Program: Overview and Current Issues, September 13, 2013
Rebuilding Household Wealth: Implications for Economic Recovery, September 13, 2013
Consumers and Food Price Inflation, September 13, 2013
Synthetic Drugs: Overview and Issues for Congress, September 16, 2013
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.