Activities of the Senate Intelligence Committee, 1976-2009
The Senate Intelligence Committee has posted a collection of its biennial public reports on the Committee’s activities, from the first report in 1976 to the latest in 2009, providing a retrospective survey of intelligence controversies past and present.
“The committee has unintentionally produced a profoundly biased political document,” complained the late Sen. Daniel P. Moynihan in a statement appended to the very first report (pdf) in 1976. “The committee reports on a world in which very simply, the values which the United States hopefully stands for do not seem to be threatened by any activity save the activities of the U.S. Government…. Nowhere is the Committee for State Security of the Soviet Union (the KGB) even alluded to. There is a pattern of avoidance of the reality of totalitarian threat throughout this document.”
“I believe that my colleague misses the point,” replied Sen. Joseph Biden in the same 1976 report. “At the heart of what is wrong with the intelligence community and what indeed has caused many of the abuses we have seen is the fact that most officials of the intelligence community do not know what they should and should not be doing…. We will not solve that problem by restating the obvious, that the Soviets operate a very effective intelligence service, unfettered by the restrictions of a vibrant constitution.”
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.