In this literature review of the uses of Natural Language Processing (NLP) models in psychiatry, an approach that “systematically evaluates each stage of model development to explore how biases arise from a clinical, data science and linguistic perspective” was employed to find existing patterns.
The result was that significant biases were found, with respect to religion, race, gender, nationality, sexuality and age.
Learn more about this review here: https://doi.org/10.1371/journal.pone.0240376
Reference
Straw, I., & Callison-Burch, C. (2020). Artificial Intelligence in mental health and the biases of language based models. PloS one, 15(12), e0240376.