Incoming members of Congress face a steep learning curve in trying to understand, let alone master, many diverse areas of public policy such as national defense.
To help facilitate that learning process, the Congressional Research Service has issued a series of “defense primers” that provide a brief introduction to a variety of defense policy topics. Several of them have recently been updated, including these:
Defense Primer: Geography, Strategy, and U.S. Force Design, CRS In Focus, updated November 8, 2018
Defense Primer: Department of the Navy, CRS In Focus, updated November 8, 2018
Defense Primer: Naval Forces, CRS In Focus, updated November 8, 2018
Defense Primer: United States Airpower, CRS In Focus, updated November 7, 2018:
Defense Primer: The United States Air Force, CRS In Focus, updated November 7, 2018
Other new and updated reports from the Congressional Research Service include the following.
Energy and Water Development Appropriations: Nuclear Weapons Activities, updated November 9, 2018
The Posse Comitatus Act and Related Matters: The Use of the Military to Execute Civilian Law, updated November 6, 2018
The DOD’s JEDI Cloud Program, CRS Insight, updated November 5, 2018
Iran: Efforts to Preserve Economic Benefits of the Nuclear Deal, CRS In Focus, updated November 8, 2018
Iran Sanctions, updated November 6, 2018
Global Trends in HIV/AIDS, CRS In Focus, November 6, 2018
21st Century U.S. Energy Sources: A Primer, updated November 5, 2018
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.