1. What is fraud in banking? 

2. What are the types of fraud that banking firms are facing today?

3. What do you think are the implications of fraud on banks and on their customers? 

4. Compare the old and new methods for identifying and mitigating fraud.

5. Why do you think deep learning methods provided better prediction accuracy?  

6. Discuss the trade-off between false positive and false negative (type 1 and type 2 errors) within the context of predicting fraudulent activities.