Military Action Against the Islamic State, and More from CRS
A new report from the Congressional Research Service considers the legal underpinning of U.S. military action against the so-called Islamic State, including the sources and limits of presidential authority, and the relevance of past Authorizations for Use of Military Force. See U.S. Military Action Against the Islamic State: Answers to Frequently Asked Legal Questions, September 9, 2014.
See also Considerations for Possible Authorization for Use of Military Force Against the Islamic State, CRS Insights, September 9, 2014, and The “Islamic State” Crisis and U.S. Policy, September 10, 2014.
Other new or newly updated CRS products include the following.
Judicial Activity Concerning Enemy Combatant Detainees: Major Court Rulings, updated September 9, 2014
U.S. Foreign Assistance to Latin America and the Caribbean: Recent Trends and FY2015 Appropriations, September 10, 2014
Export-Import Bank Reauthorization: Frequently Asked Questions, updated September 10, 2014
DOJ & Bank of America Enter Biggest Civil Settlement in U.S. History, CRS Legal Sidebar, September 10, 2014
Freedom of Speech and Press: Exceptions to the First Amendment, updated September 8, 2014
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.