Word count: 5,000 words
Objectives to cover:
- Introduction to KYC and Financial Fraud
- Challenges in Traditional KYC Processes
- Understanding Large Language Models (LLMs)
- Enhancing KYC Efficiency with LLMs
- Real-Time Fraud Detection Through LLMs
- AI-Driven Risk Mitigation in KYC Compliance
- Privacy and Ethical Considerations in AI-Enhanced KYC
- Future Trends: LLMs in Financial Crime Prevention
- Conclusion: The Path Forward for LLMs in KYC
Reference: IEEE style