Analysts at the Congressional Research Service continue to churn out reports for Congress faster than they can reasonably be digested. Not all of them are of broad interest, nor do they consistently offer original content or significant analytical insight.
But as long as Congress refuses to make them available online to the general public, there seems to be value in our helping to do so.
Recent CRS products that are not already available in other online public collections such as OpenCRS and the State Department’s Foreign Press Center include the following.
“Is China a Threat to the U.S. Economy?,” updated January 23, 2007.
“China’s Trade with the United States and the World,” updated January 4, 2007.
“Yemen: Current Conditions and U.S. Relations,” updated January 4, 2007.
“State and Urban Area Homeland Security Plans and Exercises: Issues for the 110th Congress,” updated January 3, 2007.
“The Organization for Economic Cooperation and Development,” updated January 19, 2007.
“Environmental Activities of the U.S. Coast Guard,” updated January 16, 2007.
“The Emergency Planning and Community Right-to-Know Act (EPCRA): A Summary,” updated January 3, 2007.
“Countries of the World and International Organizations: Sources of Information,” updated January 8, 2007.
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.