Explainability (XAI)

Category: science

The capability to interpret and explain why an AI model made a specific prediction.

If an AI rejects a loan application, the company *must* legally explain why. Explainability is the set of tools (like SHAP or LIME) that translate "AI math" into "Human Language," ensuring that the system is fair and compliant with federal anti-discrimination laws.

Common Examples

• Our XAI toolkit provides the compliance department with a clear justification for every denial generated by our automated underwriting engine.
• Model explainability is a non-negotiable requirement in high-stakes industries like insurance where bias carries massive legal risk.