Ethics & Safety
Explainability(XAI)
Definition
The ability to understand and interpret how an AI model makes its predictions or decisions.In-Depth Explanation
Explainability is crucial for trust, debugging, and compliance. Techniques include attention visualization, feature importance, and counterfactual explanations. LLMs can explain their reasoning through chain-of-thought, though this may not reflect actual computation. Regulatory requirements increasingly demand explainable AI.
Real-World Example
A loan approval AI explains that a rejection was based on high debt-to-income ratio and recent missed payments.
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