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Notes on ai transparency
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Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
The provided text discusses a new Explainable AI (XAI) method for semantic image segmentation in remote sensing, which aims to increase transparency and trust in AI models. The proposed method is based on entropy and…
ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models
The paper introduces ReasoningLens, an open-source framework designed to address the transparency issue in Large Reasoning Models by creating hierarchical visualizations and diagnostic auditing tools for complex…
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