Explainable AI, also known as XAI, refers to the techniques and methods that make the decision-making processes of AI models and systems understandable to humans. XAI makes the opaque decision-making processes of AI more transparent. Explainable AI is critical for building trust, ensuring accountability, and meeting regulatory requirements. It is used in sectors like healthcare, finance, and law. XAI helps stakeholders interpret how and why an AI system arrived at a certain decision or outcome.
