### Q1: What is the primary technique used in fraud detection with AI that involves training models on historical transaction data?  
### Q2: How can supervised learning be utilized for identifying fraudulent transactions in financial systems?  
### Q3: What challenges might arise when using natural language processing (NLP) to analyze unstructured data for fraud detection?  
### Q4: What are some ways AI can enhance risk assessment strategies in finance?  
### Q5: How can predictive analytics help in forecasting potential financial risks?  
### Q6: What are the potential drawbacks of relying solely on AI for dynamic risk management strategies?  
### Q7: How can effective communication improve the implementation of AI techniques in fraud detection within an organization?  
### Q8: In what ways can finance professionals communicate the benefits of AI in risk management to stakeholders?  
### Q9: How might collaboration and communication among teams influence the success of AI tools in mitigating financial risks?