To promote intelligence accountability in new democracies and elsewhere, a new publication addresses the principles of intelligence oversight and presents draft legal provisions to govern intelligence. The document is being published in seven languages from Albanian to Ukrainian.
See “Making Intelligence Accountable: Legal Standards and Best Practice for Oversight of Intelligence Agencies” by Hans Born and Ian Leigh, Geneva Centre for the Democratic Control of Armed Forces (DCAF).
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.