A new summary of U.S. intelligence expenditures over time has been prepared by the Congressional Research Service. See Intelligence Spending: In Brief, February 16, 2016.
Other new and updated reports from the Congressional Research Service that Congress has withheld from public distribution include the following.
What Does Justice Scalia’s Death Mean for Congress and the Nation?, CRS Legal Sidebar, February 16, 2016
Appointment of African American U.S. Circuit and District Court Judges: Historical Overview and Current Data, CRS Insight, February 12, 2016
FY2017 Defense Budget Request: In Brief, February 12, 2016
FY2016 Changes to DOD’s 1033 Program, CRS Insight, February 16, 2016 (The 1033 Program governs the transfer of surplus military equipment to local law enforcement agencies)
National Commission on the Future of the Army (NCFA): Background and Issues for Congress, February 5, 2016
Navy Virginia (SSN-774) Class Attack Submarine Procurement: Background and Issues for Congress, updated February 12, 2016
Lead in Flint, Michigan’s Drinking Water: Federal Regulatory Role, CRS Insight, February 16, 2016
U.S.-EU Data Privacy: From Safe Harbor to Privacy Shield, updated February 12, 2016
Disposal of Unneeded Federal Buildings: Legislative Proposals in the 114th Congress, February 12, 2016
Federal Support for Graduate Medical Education: An Overview, February 12, 2016
Federal Research and Development Funding: FY2016, updated February 11, 2016
Federal Grant Financial Reporting Requirements and Databases: Frequently Asked Questions, February 11, 2016
Brazil: Background and U.S. Relations, updated February 11, 2016
The European Union: Current Challenges and Future Prospects, updated February 15, 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.