“The United States has foolishly given Pakistan more than 33 billion dollars in aid over the last 15 years,” President Trump provocatively tweeted yesterday, adding falsely that “they have given us nothing but lies & deceit.”
A breakdown of US aid to Pakistan (excluding covert assistance) was recently provided by the Congressional Research Service. See Direct Overt U.S. Aid Appropriations for and Military Reimbursements to Pakistan, FY2002-FY2018, November 28, 2017.
Other new and updated reports from the Congressional Research Service include the following.
Qatar: Governance, Security, and U.S. Policy, updated December 27, 2017
Tailoring Bank Regulations: Differences in Bank Size, Activities, and Capital Levels, December 21, 2017
Financial Stability Oversight Council (FSOC): Structure and Activities, December 22, 2017
The Federal Tax System for the 2017 Tax Year, December 26, 2017
Five-Year Program for Federal Offshore Oil and Gas Leasing: Status and Issues in Brief, updated December 20, 2017
Basic Concepts and Technical Considerations in Educational Assessment: A Primer, December 19, 2017
CRS Products on North Korea, December 28, 2017
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.