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Many measures of societal bias in language models have been proposed inrecent years. A popular approach is to use a set of word filling prompts toevaluate the behavior of the language models. In this work, we analyze thevalidity of two such measures -- StereoSet and CrowS-Pairs. We show that thesemeasures produce unexpected and illogical results when appropriate controlgroup samples are constructed. Based on this, we believe that they areproblematic and using them in the future should be reconsidered. We propose away forward with an improved testing protocol. Finally, we also introduce a newgender bias dataset for Slovak.

In-Depth Look at Word Filling Societal Bias Measures