OASIcs.SAIA.2024.6.pdf
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In the course of the practitioner track, the IABG toolbox safeAI-kit is presented with a focus on uncertainty quantification in machine learning. The safeAI-kit consists of five sub-modules that provide analyses for performance, robustness, dataset, explainability, and uncertainty. The development of these sub-modules take ongoing standardization activities into account.
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