AI model interpretability

AI model interpretability refers to how well we can understand and explain how an AI system makes its decisions. It involves making the model's processes transparent so users and developers can see why certain outputs are produced. This helps build trust, identify errors, and ensure fairness, especially in critical areas like healthcare or finance. Think of it as opening the AI's "black box" to reveal the reasoning behind its predictions, enabling better oversight and improved confidence in the system's reliability and ethics.