What does “XAI (Explainable AI)” mean?

The work of making AI systems behave according to human intentions, values, and safety constraints.

How clearly an AI system's logic, data sources, and limitations are documented and understandable.

The broad field of building systems that perform tasks requiring pattern recognition, reasoning, language, or decision-making.

A simple reference model used to compare whether more complex approaches actually improve results.

Very large and complex datasets that require scalable storage and processing techniques.

A task where a model assigns an input to one or more predefined categories.