- word embeddings provide a mathematical model for inferring meaning 
- previous research has shown that there tends to be gender/ethnic stereotype biases within these embeddings, especially when it comes to gender stereotypes around occupation

Santa Clara University

The algorithm in the NLP system may have it's own biases because it goes off a chosen model, training data, features, and word embeddings. 

Potential Biases of Natural Language Processing: Analysis of Data

Straw, I and Callison-Burch, C. (2020). Research Article: Artificial Intelligence in mental health and the biases of language-based models. Plos One, Vol 15 (issue 12), 1-19. https://doi.org/10.1371/journal.pone.0240376

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