As a condition of gaining access to classified information, many government employees agree to submit to official pre-publication review of any public statement they wish to make that is related to their government employment.
This procedure has long been a source of conflict and controversy, but over time the pre-publication review process has become increasingly onerous, internally contradictory, and disruptive.
As part of an ongoing dialog on the subject, I offered some thoughts on “Fixing Pre-Publication Review: What Should Be Done?” on the Just Security blog.
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.