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Summarizing key contributions of socio-culturally inclusive stereotype resources

Published on:

20 July 2023

Primary Category:

Computation and Language

Paper Authors:

Sunipa Dev,

Jaya Goyal,

Dinesh Tewari,

Shachi Dave,

Vinodkumar Prabhakaran

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Key Details

Paper collects 2000+ stereotypes in India through open-ended surveys

Method enables inclusion of niche, localized stereotypes affecting marginalized groups

Dataset contains stereotypes for 500+ more identities than prior work in this context

Benchmark evaluations demonstrate usefulness for uncovering model stereotyping

AI generated summary

Summarizing key contributions of socio-culturally inclusive stereotype resources

This paper demonstrates the need for and a method of building more socio-culturally inclusive resources to evaluate AI systems for harmful stereotyping. Through community engagement via surveys in India, the authors collect over 2000 stereotypes spanning many identities. This method and the resultant dataset uncover pernicious stereotypes not captured by other approaches, showing the utility of community input.

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