North Korean Nukes, Domestic Drones, and More from CRS
An updated summary of open source reporting on the North Korean nuclear weapons program was produced this week by the Congressional Research Service. See North Korea’s Nuclear Weapons: Technical Issues, April 3, 2013
Other new or newly updated CRS reports include the following.
Integration of Drones into Domestic Airspace: Selected Legal Issues, April 4, 2013
Drones in Domestic Surveillance Operations: Fourth Amendment Implications and Legislative Responses, April 3, 2013
Super PACs in Federal Elections: Overview and Issues for Congress, April 4, 2013
“Amazon” Laws and Taxation of Internet Sales: Constitutional Analysis, April 3, 2013
FutureGen: A Brief History and Issues for Congress, April 3, 2013
Congressional Redistricting and the Voting Rights Act: A Legal Overview, April 2, 2013
The Temporary Assistance for Needy Families (TANF) Block Grant: A Primer on TANF Financing and Federal Requirements, April 2, 2013
The Recess Appointment Power After Noel Canning v. NLRB: Constitutional Implications, March 27, 2013
Overview of Health Care Changes in the FY2014 Budget Proposal Offered by House Budget Committee Chairman Ryan, March 22, 2013
Cuba: U.S. Policy and Issues for the 113th Congress, March 29, 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.