Large models are hard to explain internally. Practical substitutes include asking for cited sources, showing the inputs used and logging decisions for review.
Frequently asked questions
What does Explainability mean?
How well people can understand why an AI system produced a given output. Large models are hard to explain internally. Practical substitutes include asking for cited sources, showing the inputs used and logging decisions for review.