1 Introduction  
2 Fairness and Bias in AI  
2.1 Concepts of Fairness and Bias  
2.2 Consequences & Legal Perspectives  
3 Method  
4 Fairness and Bias in LLMs and LMMs  
4.1 LMMs  
4.2 LLMs  
5 Discussion  
5.1 Methods to audit, measure, and evaluate fairness and bias  
5.2 Datasets for Bias Evaluation  
5.3 Debiasing strategies on data, algorithms, procedures  
6 Conclusion