Explainable AI is the set of methods that make a model's outputs understandable to people. It shows which inputs drove a prediction and how far that prediction can be trusted.
AI governance is the set of policies, roles and controls an organisation uses to decide how AI systems are built, approved, monitored and retired. It is how responsible AI principles get enforced.
A hallucination is when a language model states something false or invented with the same confidence as a fact. It comes from how models generate text, so it can be reduced and managed but not patched out like a bug.
Machine learning is a branch of AI in which systems learn patterns from data to make predictions or decisions. The behaviour comes from training on examples rather than from rules written by hand.
Artificial intelligence (AI) is the field of building computer systems that can perform tasks that normally require human intelligence. These include understanding language, recognising images, making predictions and deciding what to do next.
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