This exclusive 2-hour session equips regulators with essential AI knowledge for effective oversight. A seasoned AI-focused leader and two technical experts will offer concise explanations of fundamental concepts—from how AI processes data (tokenization, vectorization) to advanced applications (transformers, retrieval-augmented generation, agents). Attendees will explore synthetic data’s privacy implications, AI/ML security threats (e.g., data poisoning, model inversion), DevOps workflows, and the debate between open versus closed models. The session concludes by examining the regulatory challenges of emergent technologies like AGI. 

Key Topics 

• Tokenization 
• Vectorization 
• Transformers 
• Synthetic Data 
• AI/ML Security 
• Extractive & Generative AI 
• Retrieval-Augmented Generation 
• Agents 
• AI/ML DevOps 
• Open vs. Closed Models 
• AGI