New and updated publications from the Congressional Research Service obtained by Secrecy News include the following.
The Chinese Military: Overview and Issues for Congress, September 18, 2015
Maritime Territorial and Exclusive Economic Zone (EEZ) Disputes Involving China: Issues for Congress, updated September 18, 2015
China Naval Modernization: Implications for U.S. Navy Capabilities — Background and Issues for Congress, updated September 15, 2015
Guatemala: President Pérez Resigns; Runoff Presidential Election on October 25, CRS Insight, September 17, 2015
Russian Deployments in Syria Complicate U.S. Policy, CRS Insight, September 18, 2015
Extreme Weather Events and Government Compensation, CRS Legal Sidebar, September 22, 2015
Third Circuit Affirms the FTC’s Authority to Regulate Data Security as an Unfair Trade Practice, CRS Legal Sidebar, September 21, 2015
Credit Union’s Plan to Serve the Marijuana Industry Goes Up in Smoke, CRS Legal Sidebar, September 21, 2015
Is There a Gap in Insider Trading Coverage for Hacking?, CRS Legal Sidebar, September 18, 2015
Vulnerable Youth: Employment and Job Training Programs, September 16, 2015
Insurance Regulation: Background, Overview, and Legislation in the 114th Congress, September 16, 2015
Copyright Law Restrictions on a Consumer’s Right to Repair Cars and Tractors, CRS Legal Sidebar, September 18, 2015
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.