By most available quantitative measures, government secrecy continues to grow in problematic ways, according to a new annual survey (pdf) from the advocacy coalition OpenTheGovernment.org.
While the creation of new secrets (termed “original classification decisions”) actually declined in the past year, total classification activity grew significantly, as did the use of controls on unclassified information, and the costs of maintaining the apparatus of national security classification.
“The current administration has increasingly refused to be held accountable to the public, including through the oversight responsibilities of Congress,” said Patrice McDermott, Director of OpenTheGovernment.org.
See “Secrecy Report Card 2007,” September 2007.
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.