The National Archives this week announced the opening of approximately 1.3 million pages of historic Central Intelligence Agency records dating from 1947 to 1977. The documents, which are described as open source publications gathered by the CIA’s Foreign Documents Division, are being released as “a part of the National Declassification Initiative program announced by the Archivist of the United States Allen Weinstein in April 2006.”
On March 17, 2008, the Public Interest Declassification Board (PIDB) heard public comments on its report Improving Declassification that was sent to the President in 2007. The meeting was covered by Lee White of the National Coalition for History.
Last year the National Intelligence Council, a component of the Office of the Director of National Intelligence, sponsored a conference in Ghana on democratization in Africa. The NIC has now published the proceedings of that conference for broad public consumption and consideration. See “Democratization in Africa: What Progress Toward Institutionalization?” (pdf).
U.S. Air Force intelligence organization and functions are described in “General Intelligence Rules” (pdf), Air Force Instruction 14-202 (vol. 3), 10 March 2008.
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.