1st Edition
Artificial Intelligence and Safety A Practical Guide for Programmers and Decision Makers
1. Mastering Uncertainty: The Strategic Role of Risk Management 2. Decoding Intelligence: Your Step-by-Step Guide on Artificial Intelligence 3. Machine Learning Foundations: From Theory to Your First Model 4. The Rise of Deep Learning 5. From Generative AI to Context-Aware Intelligence 6. Role of Artificial Intelligence in Risk Management and Vice Versa 7. Managing Emerging Risks Using Python: Your Detailed Guide on How to Enable Ethical AI for Better Data Risk Governance 8. Asking the Right Question: Bridge the Gap Between Risk and Artificial Intelligence 9. Case Study: Your Practical and Stepwise Guide to Build a RAG-Powered AI Assistant 10. Afterword: The Future of Risk Management in the Era of Artificial Intelligence
Biography
Charu Khanna is director of risk management at a global financial institution. She has extensive experience in risk management, data and operational risk, and analytics.
Sahil Khanna is a senior data scientist and AI governance specialist with extensive experience in designing and deploying machine learning and LLM solutions across healthcare, retail, and technology sectors.
