FAS

DoD Directs “Equal Attention” to Secrecy, Declassification

04.22.16 | 2 min read | Text by Steven Aftergood

Declassification of national security information should be pursued on a par with classification, according to a Department of Defense directive that was reissued yesterday.

“Declassification of information will receive equal attention as the classification of information so that information remains classified only as long as required by national security considerations,” said DoD Instruction 5200.01, dated April 21 and signed by Marcel Lettre, the Under Secretary of Defense for Intelligence.

This seems commendable as an aspirational goal, but it is hard to consider it an accurate description of existing DoD policy. (The “equal attention” language has been in force since 2008, when it appeared in a prior iteration of the Instruction.)

Nor is it clear what DoD means by “equal attention” in this context. Equal resources devoted to classification- and declassification-related activities? Surely not. Equal numbers of personnel engaged in classification and declassification? No. Equivalent quantities of records being classified and declassified? Also no.

Still, in a rules-based bureaucracy like the Pentagon, a directive from the Under Secretary of Defense has some intrinsic weight and cannot be entirely dismissed.

It is also noteworthy that the Instruction goes beyond requiring some sort of equilibrium between classification and declassification and calls for an actual reduction in the amount of classified material: “The volume of classified national security information and CUI [controlled unclassified information], in whatever format or media, will be reduced to the minimum necessary to meet operational requirements.”

In a new provision, the Instruction emphasizes the need to address unauthorized disclosures of classified information:

“Commanders and supervisors at all levels must consider and, at their discretion, take appropriate administrative, judicial, contractual, or other corrective/disciplinary action to address negligent discharges of classified information commensurate with the seriousness of the security violation.”

A “negligent discharge” sounds like something that is frowned upon in the Book of Leviticus. But it is actually an officially-sanctioned DoD term for certain types of unauthorized disclosures. An August 14, 2014 memorandum from the Deputy Secretary of Defense explains its origin:

“A negligent spillage or unauthorized disclosure of classified information is categorized as a Negligent Discharge of Classified Information (NDCI), which is based on the familiar firearms term ‘Negligent Discharge,’ to connote its seriousness.”

publications
See all publications
Clean Energy
Blog
Fixing a Broken Market: A Plan for Cheaper Freight, Cleaner Air, and American Truck Leadership

Americans are paying too much for almost everything, because the United States has long treated its trucking industry as an artifact to be preserved rather than as an opportunity for innovation.

06.16.26 | 9 min read
read more
Emerging Technology
Report
SOURCE CODE: A Policy Agenda for Fostering Trust and Fairness in AI

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.

06.11.26 | 17 min read
read more
Emerging Technology
day one project
Policy Memo
Move Algorithmic-Driven Pay and Scheduling Systems From Surveillance Pay to Fair Wages

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

06.11.26 | 15 min read
read more
Emerging Technology
day one project
Policy Memo
How State Leaders Can Put People First in AI Decision-Making

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.

06.11.26 | 17 min read
read more