The legal issues and security procedures involved in litigating national security cases are introduced in a handbook (pdf) published by the Navy Judge Advocate General.
“National Security Cases and cases involving classified information are inherently complex because they impose strict security, reporting, coordination, and approval requirements on top of the necessities of investigating, trying, defending, or adjudicating charges.”
“Some offenses are capital and often are ‘high visibility’ cases overseen by the media, senior government officials, and Congress.”
The JAG handbook “contains information and guidance on the preparation, prosecution, defense, and adjudication of such cases.”
See “The Judge Advocate’s Handbook For Litigating National Security Cases,” Office of the Judge Advocate General, Department of the Navy, n.d. (2002).
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.