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In a world where machines learn, evolve, and sometimes outthink us, Artificial Intelligence and Safety offers a rare, integrated lens into both the power and peril of intelligent systems. Drawing on the authors' unique blend of programming mastery and enterprise risk leadership, this is your compass in the age of intelligent machines.
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.
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