most citedDetecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

109 citations · 160 across the 3 of their papers we have counts for

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cs.CY2020★ 109 cited

Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

Wei Guo, Aylin Caliskan

With the starting point that implicit human biases are reflected in the statistical regularities of language, it is possible to measure biases in English static word embeddings. St…

cs.CY2020

Automatically Characterizing Targeted Information Operations Through Biases Present in Discourse on Twitter

Autumn Toney, Akshat Pandey, Wei Guo +2

This paper considers the problem of automatically characterizing overall attitudes and biases that may be associated with emerging information operations via artificial intelligenc…