The Central Intelligence Agency has released three of its internal personnel regulations in redacted form as part of a defense against charges that it improperly dismissed a former undercover contract employee.
A 2002 regulation signed by then-DCI George Tenet established the CIA Personnel Evaluation Board (pdf), which is “the primary mechanism for reviewing employee suitability and security cases that may result in the imposition of serious discipline, termination of employment, or revocation of security clearances.”
The “circumstances under which Agency employment may be terminated” are described in another 2002 regulation (pdf).
The role of “contract employees” — which are not the same as “contractors” — is described in a third redacted CIA regulation (pdf).
The regulations were disclosed by CIA in response to a lawsuit filed by “Peter B.” (pdf), a covert contract employee who alleged that he was wrongly terminated and was subjected to unlawful retaliation by the CIA.
The CIA replied (pdf) that the CIA Director “has discretion to terminate a person employed by the CIA for any reason and the decision is not subject to review.”
The newly disclosed CIA personnel regulations were characterized in a declaration (pdf) by CIA information review officer Linda Dove.
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.
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.