1 INTRODUCTION

2 BACKGROUND

3 TEST CASE

4 EXPLAINABLE ARTIFICIAL INTELLIGENCE METHODS  
4.1 Intrinsically Interpretable Methods  
4.2 Model-Agnostic Methods  
4.3 Example-Based Explanations  
4.4 Other Techniques  
4.5 Knowledge Infusion Techniques  

5 QUANTIFYING EXPLAINABILITY AND FUTURE RESEARCH DIRECTIONS  
5.1 Quantifying Explainability  
5.2 Future Research Directions  

6 CONCLUSION