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Briefing: Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI

Strategic angle: This paper surveys uncertainty-aware explainable artificial intelligence (UAXAI), examining how uncertainty is incorporated into explanatory pipelines and how such methods are evaluated.

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1 min read
Updated 11 days ago
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The paper titled 'Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI' provides a comprehensive overview of how uncertainty is factored into explainable AI systems.

It examines various methodologies for incorporating uncertainty into explanatory frameworks, which is critical for enhancing the reliability of AI outputs.

Additionally, the paper discusses the evaluation techniques employed to assess the effectiveness of these uncertainty-aware approaches, providing insights for future implementations.