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Found 3 papers, 1 papers with code
On the Definition of Appropriate Trust and the Tools that Come with it
Evaluating the efficiency of human-AI interactions is challenging, including subjective and objective quality aspects.
Calibrated Explanations for Regression
This paper introduces an extension of a feature importance explanation method, Calibrated Explanations, previously only supporting classification, with support for standard regression and probabilistic regression, i. e., the probability that the target is above an arbitrary threshold.
A Meta Survey of Quality Evaluation Criteria in Explanation Methods
In this paper, we have conducted a semi-systematic meta-survey over fifteen literature surveys covering the evaluation of explainability to identify existing criteria usable for comparative evaluations of explanation methods.
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