Contrary to allegations by some military officers and members of Congress, the Top Secret Department of Defense intelligence analysis program known as ABLE DANGER “did not identify Mohammed Atta or any other of the 9/11 terrorists before the 9/11 attack,” a review by the Department of Defense Inspector General concluded (9.2 MB PDF).
Rep. Curt Weldon (R-PA), a proponent of the view that ABLE DANGER was deliberately covered up because of its success in identifying the 9/11 conspirators, wasn’t having it.
“Acting in a sickening bureaucratic manner, the DOD IG cherry-picked testimony from witnesses in an effort to minimize the historical importance of the Able Danger effort,” the Congressman said.
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.