EvalAI providing pro/con arguments improves provision-level accuracy and reduces misclassification distance in DSA illegal content reporting under AI error conditions versus conventional XAI.
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WISCA produces consensus explanations on synthetic tabular datasets that align with the most reliable individual interpretability method among those tested.
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AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act
EvalAI providing pro/con arguments improves provision-level accuracy and reduces misclassification distance in DSA illegal content reporting under AI error conditions versus conventional XAI.
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WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets
WISCA produces consensus explanations on synthetic tabular datasets that align with the most reliable individual interpretability method among those tested.