C-XAI: A conceptual framework for designing XAI tools that support trust calibration
PulseAugur coverage of C-XAI: A conceptual framework for designing XAI tools that support trust calibration — every cluster mentioning C-XAI: A conceptual framework for designing XAI tools that support trust calibration across labs, papers, and developer communities, ranked by signal.
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New attack logic targets concept-level reasoning in neural networks
Researchers have introduced a novel method for attacking neural networks by focusing on logical inconsistencies in concept-level reasoning rather than just output misclassification. This approach, termed concept-based p…
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MLLMs show promise for low-cost concept-based AI explanations
Researchers have developed a training-free approach for generating localized explanations in Explainable AI (XAI) using Multimodal Large Language Models (MLLMs). Their method, called Concept Naming (CoNa), evaluates how…