👉 Interpretability is a concept in artificial intelligence (AI) and machine learning where an AI system can be understood by humans, even if it has not been explicitly programmed to do so. It refers to how well an AI system understands language and its commands, even when it's not explicitly programmed to understand it. This makes it easier for humans to communicate with the system. Interpretability is important in many areas of artificial intelligence and machine learning, including natural language processing (NLP), speech recognition
