The topic of “secret law” is probed at great length in a new law review paper, which substantiates the concept and suggests a set of principles for addressing it. See “Coming to Terms with Secret Law” by Dakota S. Rudesill, to be published in the Harvard National Security Journal.
Secret law is defined here as “legal authorities that require compliance [but] that are classified or otherwise withheld from the public.”
The paper provides extensive citations to relevant source material (including a few references to Secrecy News), thoughtful consideration of arguments for and against the status quo, and a novel compilation of congressional reports that include classified addenda. (h/t Lawfare)
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.