This paper presents objective metrics for how explainable artifi- cial intelligence (XAI) can be quantified. Through an overview of current trends, we show that ...
May 3, 2021 · This paper presents objective metrics for how explainable artificial intelligence (XAI) can be quantified. Through an overview of current ...
Objective metrics for how explainable artificial intelligence (XAI) can be quantified are presented and user studies that focus on these metrics in their ...
Feb 8, 2021 · PDF | This paper presents objective metrics for how explainable artificial intelligence (XAI) can be quantified.
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Feb 9, 2023 · The paper analyzes various approaches to the evaluation of XAI methods, defines the requirements for the evaluation system and suggests metrics.
In this study, we proposed a novel methodology to verify fidelity metrics, using transparent models. These models allowed us to obtain explanations with ...
This systematic literature review addresses this gap by providing a detailed overview of the current state of affairs in human-centered XAI evaluation.
This paper aims to summarize a state-of-the-art review in XAI evaluation metrics, to present a categorization of evaluation methods and show a mapping between ...
Feb 21, 2024 · This post introduced a novel set of explainability metrics, focusing on both global and local feature importance.
Jan 4, 2023 · 1. Explainable AI Evaluation Metrics · Trustworthiness · Fidelity · Causality · Faithfulness · Confidence · Metrics Discussion.