Domestic supporters of the Islamic State “have accounted for 67 homegrown violent jihadist plots between 2014 and early June 2016” involving more than 100 individuals, according to a new analysis from the Congressional Research Service.
“In November 2015, the Federal Bureau of Investigation (FBI) reportedly had more than 900 investigations of IS suspects in the United States.” See The Islamic State’s Acolytes and the Challenges They Pose to U.S. Law Enforcement, June 13, 2016.
Other new and updated reports from the Congressional Research Service include the following.
Sifting Domestic Terrorism from Hate Crime and Homegrown Violent Extremism, CRS Insight, updated June 13, 2016
The Islamic State and U.S. Policy, updated June 14, 2016
When Are Violent Crimes Federal Hate Crimes?, CRS Legal Sidebar, June 14, 2016
Navy Littoral Combat Ship (LCS)/Frigate Program: Background and Issues for Congress, updated June 14, 2016
A Patent/Innovation Box as a Tax Incentive for Domestic Research and Development, June 13, 2016
Runaway and Homeless Youth: Demographics and Programs, updated June 13, 2016
Pakistan’s Nuclear Weapons, updated June 14, 2016
Iran’s Nuclear Program: Status, updated June 13, 2016
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.