Common Standards for Terrorism Information Sharing
Government agencies are still laboring to devise “common standards for preparing terrorism information for maximum distribution,” in response to a December 2005 directive from the President.
Recently the Program Manager for the ODNI Information Sharing Environment issued a memorandum (pdf) describing the implementation of such common standards. See “Common Terrorism Information Sharing Standards (CTISS) Program,” Information Sharing Environment Administrative Memorandum, October 31, 2007.
“Maximum distribution” of information here means sharing with federal agencies, state and local governments, law enforcement agencies, and the private sector. It does not imply that terrorism-related information will be shared with the general public.
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.