An updated description of the intelligence function of the Department of Homeland Security was produced last week by the Congressional Research Service. See “The Department of Homeland Security Intelligence Enterprise: Operational Overview and Oversight Challenges for Congress” (pdf), March 19, 2010.
“Homeland Security Intelligence: Its Relevance and Limitations” was the topic of a March 18, 2009 hearing of the House Homeland Security Committee, the record of which was published last month.
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.