### Q1: What is the primary advantage of using Generative AI over traditional rule-based systems in fraud detection?  
### Q2: How does a Generative Adversarial Network (GAN) assist in training classifiers for detecting fraud?  
### Q3: What challenges might arise in continuously adapting Generative AI models to new fraud tactics?  
### Q4: How can Generative AI enhance the accuracy of credit scoring compared to traditional methods?  
### Q5: In what ways can organizations utilize a broader array of data points for a more comprehensive credit profile?  
### Q6: What potential risks are associated with over-relying on Generative AI techniques in credit scoring?  
### Q7: How would you communicate the benefits of Generative AI in fraud detection to stakeholders within your organization?  
### Q8: What strategies can you employ to effectively explain the complexities of credit scoring improvements through Generative AI to a non-technical audience?  
### Q9: How can effective communication of Generative AI outcomes impact decision-making processes in your finance team?