CIA Says Redaction of Commodore Amiga Cost was an Error
The CIA should not have redacted the amount that was paid for a Commodore Amiga portable computer in 1987 from a recently declassified article, a CIA official said today. (CIA: Cost of Personal Computer in 1987 is a Secret, Secrecy News, September 29).
“The redaction of the cost of the Commodore Amiga computer was in fact an error,” said Joseph W. Lambert, Director of CIA Information Management Services.
“Although we would normally redact budget figures, this clearly does not constitute a budget figure and should not have been redacted. The mistake was made in a high volume court deadline environment,” he said, referring to a FOIA lawsuit brought by former CIA official Jeffrey Scudder.
“I have instructed my folks to make the appropriate corrections by lifting the redactions in question and then subsequently re-post the document to our website,” Mr. Lambert said via email. The revised document should be posted tomorrow. (Update: The document with cost figures restored is now posted here.)
The Scudder lawsuit was not settled by the latest releases of hundreds of articles from CIA’s Studies in Intelligence journal. The parties told the court on Monday that Scudder intends to challenge some of CIA’s withholdings.
The United States federal government invests nearly $150 billion annually in research and development. However, the supporting evidence generates wildly different estimates depending on the methods and available data.
The digital government field has an opportunity to build a more responsive and resilient government by pushing into new frontiers, with new tools, approaches, and even organizations that don’t exist yet. This is the time for radical experimentation, delivery, and exploration.
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.
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.