Interpretability

Interpretability refers to how well we can understand and explain how a model or system makes decisions or predictions. It means that the reasoning behind an output is transparent and clear enough for humans to follow. This is important for trust, accountability, and fixing errors, especially in areas like healthcare or finance. An interpretable system allows us to see the factors influencing its decisions, making it easier to evaluate its reliability and ensure it aligns with our expectations and ethical standards.