A position paper reviewing why evaluating AI explanations is difficult, illustrated by the author's bias-detection and human-survey case studies and by concept-drift explanation methods.
International Journal of Applied Mathematics and Computer Science34(1), 119– 133 (2024)
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Challenges in Evaluating Explanation Methods for Static and Evolving Data
A position paper reviewing why evaluating AI explanations is difficult, illustrated by the author's bias-detection and human-survey case studies and by concept-drift explanation methods.