1 Introduction  
2 Theoretical Background  
2.1 Notation  
2.2 Algorithmic Fairness  
2.3 Changing Environments  
3 Similarities Between Distribution-Shift and Fairness  
4 Overcoming Distribution-Shift in Bias-Aware Scenarios  
4.1 Fair Adaptive Approaches  
4.2 Fair Robust Approaches  
5 Datasets and Benchmarking  
6 Related Research Areas  
7 Discussion and Future Research Challenges