1 Introduction  
2 Bias  
3 Fairness  
4 Metrics for Observing Bias  
1. Word Embedding Association Test  
2. Sentence Encoder Association Test  
5 Language Model Bias  
5 Approaches for Debiasing Models  
5.1 Word Embeddings  
5.2 Sentence Encoding  
5.3 Coreference Resolution  
5.4 Machine Translation  
5.5 Semantic Role Labeling  
5.6 Hate Speech  
5.7 Adversarial Learning Algorithms  
6 Why are Current Techniques Not Sufficient?  
7 Conclusion and Future Work