Article

Evaluating Explanations from AI Algorithms for Clinical Decision-Making: A Social Science-based Approach

2024-02-27

Abstract excerpt

Explainable Artificial Intelligence (XAI) techniques generate explanations for predictions from AI models. These explanations can be evaluated for (i) faithfulness to the prediction, i.e., its correctness about the reasons for prediction, and (ii) usefulness to the user. While there are metrics to evaluate faithfulness, to our knowledge, there are no automated metrics to evaluate the usefulness of explanations in...

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Literature Corpus work: a1daddd7-ba85-529c-8a6e-a8bbf3d6d9b9
DOI: 10.1101/2024.02.26.24303365

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