The complexities and limited successes of government efforts to improve the sharing of terrorism-related information were examined in a new report from the Government Accountability Office published today. See “Information Sharing Environment: Definition of the Results to Be Achieved in Improving Terrorism-Related Information Sharing Is Needed to Guide Implementation and Assess Progress” (pdf), June 2008.
The report was summarized in GAO testimony presented today (pdf) to the Senate Homeland Security Committee.
Rep. Henry Waxman (D-CA), Rep. Tom Davis (R-VA) and the House Oversight Committee, introduced and marked up two bills to limit the use of dissemination controls on unclassified information and to reduce overclassification. The bills, drafted in comparative secrecy with limited external review, had not been publicly released at the middle of the day. Statements by Rep. Waxman describing the intended purpose of the bills are here (pdf) and here (pdf).
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.