Fidelity
Fidelity is a mainstream metric in the XAI field for measuring explanation quality, divided into local and global fidelity. It measures the degree to which an explanation reproduces model outputs, but cannot guarantee that the explanation faithfully reflects the underlying decision process.
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The current mainstream approach in academia for evaluating explanation quality is to measure the fidelity between explanations and black-box model predictions.
The paper points out that fidelity can only quantify whether an explanation can reproduce model outputs, but cannot guarantee that the explanation correctly reflects the underlying decision-making process.
All Facts (2)
The current mainstream approach in academia for evaluating explanation quality is to measure the fidelity between explanations and black-box model predictions.
50%UnverifiedThe paper points out that fidelity can only quantify whether an explanation can reproduce model outputs, but cannot guarantee that the explanation correctly reflects the underlying decision-making process.
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