Questions
Common questions.
What is Explainability?
Explainability is the ability to provide a human-understandable account of why an AI system produced a particular output or decision.
How does Explainability work?
Regulators and auditors increasingly require explainability for automated decisions that affect individuals.
Which terms are related to Explainability?
Closely related concepts include MiFID II (AI Agents), AI Attribution, Artificial General Intelligence (AGI), Context Consumer. Each is defined in the Prefactor glossary.
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