1 Introduction

2 Related Survey

3 Conceptualizing Fairness and Bias in ML

4 Practical Cases of Unfairness in Real-World Setting

5 Ways to Mitigate Bias and Promote Fairness

6 How Users Can Be Affected by Unfair ML Systems

7 Challenges and Limitations

8 Conclusion