National Security Letters: Legal Background, & More from CRS
New and newly updated reports from the Congressional Research Service that Congress has withheld from online public distribution include the following.
National Security Letters in Foreign Intelligence Investigations: Legal Background, January 3, 2014
National Security Letters in Foreign Intelligence Investigations: A Glimpse at the Legal Background, January 3, 2014
Nuclear Power Plant Security and Vulnerabilities, January 3, 2014
Implementation of Chemical Facility Anti-Terrorism Standards (CFATS): Issues for Congress, January 6, 2014 (new)
Free Exercise of Religion by Secular Organizations and Their Owners: Implications for the Affordable Care Act (ACA), January 3, 2014 (new)
Monetary Policy and the Federal Reserve: Current Policy and Conditions, January 7, 2014
Tax Rates and Economic Growth, January 2, 2014
International Corporate Tax Rate Comparisons and Policy Implications, January 6, 2014
State, Foreign Operations, and Related Programs: FY2014 Budget and Appropriations, January 3, 2014
China and Proliferation of Weapons of Mass Destruction and Missiles: Policy Issues, January 3, 2014
Nonstrategic Nuclear Weapons, January 3, 2014
Next Steps in Nuclear Arms Control with Russia: Issues for Congress, January 6, 2014
The Committee on Foreign Investment in the United States (CFIUS), January 2, 2014
Threats to U.S. National Security Interests in Space: Orbital Debris Mitigation and Removal, January 8, 2014 (new)
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.