NLP models have the risk of reinforcing harmful pre-existing social biases. Using a deep learning model, known as a Bi-Directional Transformer (BERT), which is commonly used for NLP tasks, Google researchers discovered that the model was more likely to associate words with negative sentiment to phrases associated with disabilities.