Methods and techniques in the application of artificial intelligence such that the results of the solution can be understood by humans.
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.