The enduring problem of overclassification and the challenge of effective declassification are the subject of two public events this week.
The House Committee on Government Oversight and Reform, chaired by Rep. Jason Chaffetz (R-UT), will hold a hearing on Wednesday, December 7 on “examining the costs of overclassification on transparency and security.” The witnesses include former Information Security Oversight Director Bill Leonard, National Security Archive director Tom Blanton, Scott Amey of the Project on Government Oversight, and myself.
The Public Interest Declassification Board, chaired by Prof. Trevor Morrison, will hold a meeting on Thursday, December 8 to discuss potential changes that could be adopted in a future executive order on classification. More information, including advance copies of several presentations to be made at the meeting, can be found here.
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.