- Racial biases of model outputs are changed by model instances or architectures
- The word embedding associations that are centered around words related to race change based on what model architecture is used. 

University of Virginia, Charlottesville

- Race and language go hand-in-hand, yet not much research has been done towards race.
- This is the reason that race-related bias in NLP is overlooked.
- NLP systems can facilitate the encoding of racial biases

Racism in NLP

Anjalie Field, Su Lin Blodgett, Zeerak Waseem, and Yulia Tsvetkov. 2021. A Survey of Race, Racism, and Anti-Racism in NLP. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1905–1925, Online. Association for Computational Linguistics.

A Survey of Race, Racism, and Anti-Racism in NLP

- racial stereotypes and prejudices are communicated through language
- language is very indicative of how racial categorizations are different in different contexts


Race and Language

- Racial bias occurs in datasets when it associates names with a certain race
- In addition to what the dataset contains, it is important to consider who the data was authored by

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