Oct 25, 2023 · This paper presents a new method for objectively measuring the explainability of textual information, such as the outputs of Explainable AI (XAI).
Sep 11, 2021 · This paper presents a new model-agnostic metric to measure the Degree of Explainability of information in an objective way.
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More precisely, we propose that the degree of explainability of the information depends on the number of archetypal questions to which it can adequately. F.
This paper presents a new method for objectively measuring the explainability of textual information, such as the outputs of Explainable AI (XAI).
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability · Francesco Sovrano, F. Vitali · Published in Knowledge-Based Systems ...
Abstract. This paper presents a new method for objectively measuring the explainability of textual information, such as the outputs of Explainable AI (XAI).
Dec 9, 2024 · There are metrics for measuring the accuracy of an AI system [49,50,51,52,53,54,55], such as receiver operating characteristic curve and ...
DoXpy is a pip-installable python library giving you all that is necessary to objectively estimate the amount of explainability of any English piece of ...
Sep 5, 2024 · With this paper, we present a new model-agnostic metric to measure the Degree of eXplainability of correct information in an objective way, ...
An objective metric for Explainable AI: How and why to estimate the degree of explainability-article.