1. Introduction  
2. Reasons for Explainability and Demanding Domains  
3. Concepts of Explainability  
4. Interpretable Model Learning  
5. Surrogate Models  
6. Explanation Generation  
7. Data and Explainability  
8. Discussion and Open Challenges  
9. Conclusion