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Evidence record 17328 · automatically gathered

Challenges in Evaluating Explanation Methods for Static and Evolving Data

This paper addresses the limitations of Explainable Artificial Intelligence (XAI) with respect to insufficient evaluation. They are illustrated through the DetoxAI image recognition system for bias detection and concept unlearning. Then, an example of a human-grounded evaluation of methods for explaining image classification is presented. The paper further explores methods for adapting explanations to evolving data streams with concept drift. Experiences with adapting counterfactuals for this pr

Record details

Published: 6 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Bias & fairness · Transparency
Retrieved: 7 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (6 August 2026), “Challenges in Evaluating Explanation Methods for Static and Evolving Data,” evidence record 17328, https://ethics.ai/record/17328 (originally published by arXiv cs.AI).

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