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Evidence record 905 · automatically gathered

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches

Saliency map visualizations explain image-based AI predictions by pointing to regions, but these are often unintuitive and semantically unclear, leaving an interpretability gap. We argue that AI explanations should be intuitive -- coherent to user knowledge, yet simple and selective to accelerate interpretation. Inspired by artistic drawings, we propose SketchXplain to generate sketch-based visual explanations for intuitive image-based explainable AI (XAI). Combining techniques in saliency maps,

Record details

Published: 16 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Transparency
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (16 June 2026), “SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches,” evidence record 905, https://ethics.ai/record/905 (originally published by arXiv).

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