Glossary
Updated
Techniques and frameworks that generate clear, context-appropriate explanations (feature attributions, rule extractions, counterfactual scenarios) tailored to stakeholder needs (end users, regulators, developers). XAI governance includes standardizing explanation formats, validating explanation fidelity, and training users to interpret them properly.
Example
A credit-card company uses XAI by integrating LIME explanations into its fraud alerts: when the AI flags a transaction as suspicious, it shows the user that “Unusual merchant location” and “High transaction amount” were the top contributors, enabling faster verification and reducing false-positive escalations by 30%.