“The value and the major limitations” of a recently released CIA documentary collection on Col. Ryszard Kuklinkski, the Polish official who provided a vast quantity of political and military intelligence to the CIA in the 1970s and early 1980s, are assessed by Mark Kramer of Harvard University in a new publication of the Cold War International History Project. See “The Kuklinski Files and the Polish Crisis of 1980-1981” (pdf), March 2009.
The Office of Technology Assessment played a significant role in informing Congressional deliberations on science policy over the course of two decades and generated a body of policy analysis that retains much of its value years after OTA was terminated in 1995. Today, “the argument to restart the OTA is overwhelming,” argued Gerald Epstein in an essay in Science Progress.
Had Amb. Charles Freeman not withdrawn from his appointment as chairman of the National Intelligence Council, under pressure of controversy regarding his views on Israel, Saudi Arabia and China, he would have attempted to alter the Intelligence Community’s classification practices, he said in an interview with Jim Lobe of Interpress Service news agency. “I would have liked to have tried to change the culture to value lower levels of classification rather than higher in terms of output,” Amb. Freedman said. “In general, I would’ve tried very hard to encourage members of the intelligence community to use classified information as a form of corroboration for information that is not classified, or is not terribly sensitive even if it is classified. In other words, I would urge analysts to write down rather than write up terms of levels of classification.”
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.