WikiLeaks Prompts Stronger Safeguards for Classified Info
Inevitably and predictably, the U.S. Government has moved to systematically increase the monitoring of classified computer networks and to tighten the safeguarding of classified information in response to the indiscriminate publication of classified records by WikiLeaks.
An executive order issued on October 7 does not define the new security policies. Instead, it establishes new mechanisms for monitoring, developing and implementing information system security policies, including a newly established Insider Threat Task Force.
In a gesture directed at whistleblowers, the new executive order states (sect. 7e) that “the entities created and the activities directed by this order shall not seek to deter, detect, or mitigate disclosures of information by Government employees or contractors that are lawful under and protected by” whistleblower protection statutes.
But while the systematic tracking of online behavior may not deliberately “seek” to deter or detect whistleblowers, it’s hard to see how it could fail to produce such effects.
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.