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20222026
most citedA Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges

35 citations · 94 across the 18 of their papers we have counts for

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cs.CL2024★ 5 cited

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed +97

This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safe…