Nuclear Nonproliferation, Safeguards, and Enrichment
“South Africa repeatedly has stated its commitment to nuclear nonproliferation since it ended its nuclear weapons program and signed the Nonproliferation Treaty in July 1991,” observes a brief new report from the DNI Open Source Center, which also notes that “South Africa has a history of backing Iran’s ‘peaceful’ nuclear development.” See “South Africa’s Nuclear Nonproliferation Posture Remains Consistent” (pdf), Open Source Center Report, 9 April 2010.
“The implementation of international safeguards at the Rokkasho Reprocessing Plant (RRP) in Japan has been the largest challenge the International Atomic Energy Agency (IAEA) has faced to date,” according to a recent report on the development of nuclear safeguards. See “Lessons Learned in International Safeguards — Implementation of Safeguards at the Rokkasho Reprocessing Plant” (pdf), Oak Ridge National Laboratory, December 2009.
An overview of uranium enrichment programs around the world was prepared last year for the Department of Energy, based exclusively on open source information. See “Profile of World Uranium Enrichment Programs – 2009” (pdf), Oak Ridge National Laboratory, April 2009.
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.