The Privacy and Civil Liberties Oversight Board is conducting oversight in nearly a dozen areas broadly related to intelligence and counterterrorism. The PCLOB oversight agenda was detailed in a statement this week.
“This document describes the Board’s active oversight projects and other engagements. . . .The shorthand descriptions below are intended to provide public transparency, consistent with the protection of classified information and other applicable law,” the July 1 statement said.
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Meanwhile, the Department of Defense issued a new directive outlining how it will obtain and make use of public information. See DoD Access to and Use of Publicly Available Information (PAI), DoD Directive 3115.18, June 11, 2019.
The directive said that DoD will collect public information in an open and transparent way — except when it is authorized to employ deception.
As a general matter, “DoD personnel will not use false assertions of identity or organizational affiliation for official purposes to access, acquire, or use PAI without complying with cover policies . . and other DoD guidance and issuances on the use of cover,” the directive said.
“Cover” is defined as “The concealment of true identity or organizational affiliation with assertions of false information as part of, or in support of, official duties to carry out authorized activities or lawful operations.”
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.