Some random reports of the Congressional Research Service that are not otherwise readily available in the public domain include the following:
“Science, Technology, Engineering, and Mathematics (STEM) Education Issues and Legislative Options” (pdf), May 22, 2006.
“Australia: Background and U.S. Relations” (pdf), April 20, 2006.
“China’s Impact on the U.S. Automotive Industry” (pdf), April 4, 2006.
“The Congressional Charter of the American National Red Cross: Overview, History, and Analysis” (pdf), March 15, 2006.
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.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.