Methods that show why an AI model produced a given output, so people can check its reasoning before they rely on it.
Explainable AI (XAI) is often a legal and operational requirement for enterprise deployment. If an AI system denies a loan or flags a medical scan, the organization must be able to explain how the system reached that result. XAI techniques keep complex deep learning models from operating as unauditable black boxes.
See also Deep Learning, Air-Gapped Environment, Role-Based Access Control and Zero Trust Architecture.