- In mental health care there are already a lot of biases with demographics (ex. females being more likely to be diagnosed with personality disorders and males being more likely to be diagnosed with PTSD) so artificial intelligence needs to be tested by professionals for these biases

Cautions to be taken when considering Interpretation of Data Biases in Natural Language Processing

There may be biases in how practitioners interpret data and what they've already been trained to know. 

Santa Clara University

1. Expression of Data
2. Analysis of Data
3. Interpretation of Data 

Potential Biases of Natural Language Processing

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

Research Article: Artificial Intelligence in mental health and the biases of language-based models

An individual will use their own language to express their emotions online as well as the data they produce.

Potential Biases of Natural Language Processing: Expression of Data

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. 

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