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Author:   Rajendra Gangavarapu
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031936807

ISBN 10:   3031936809
Pages:   137
Publication Date:   27 September 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

Foreword.- Introduction.- Navigating the AI Frontier: Emerging Trends and Governance Implications.- How to Evaluate GenAI Models: Unlocking Their Potential for Your Unique Tasks.- Taming AI Hallucinations: Innovations in Retrieval-Augmented Generation and Evaluation.- Invisible Exposure: The Privacy Risks of AI Models.- Unmasking Deepfakes: Navigating Challenges and Solutions in the Age of AI-Driven Manipulation.- Unmasking the Security Risks of Generative AI: Threats and Strategies for Defense.- Unmasking Model Bias: Building Fair, Reliable, and Trustworthy Models.- Unveiling the Black Box: Enhancing AI/ML Model Explainability for Transparency and Trust.- Model Monitoring: Lessons from Recent Failures.- Navigating Change Management: Lessons and Best Practices for Managing AI/GenAI Models in a Dynamic Landscape.- AI Governance: Preparing for the Rise of Agentic AI.- Epilogue.

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Author Information

Dr. Rajendra Prasad Gangavarapu is a distinguished Artificial intelligence (AI) thought leader with over 15 years of experience in driving transformative innovations in AI. He is recognized as one of the “100 Most Influential AI Leaders in the USA” (2024) and was awarded the prestigious AI Innovator Award at MachineCon New York (2024). Dr. Gangavarapu has consistently delivered groundbreaking AI solutions that align with organizational objectives. His leadership has propelled advancements in generative AI, machine learning frameworks, and ethical AI practices, ensuring compliance with global regulations while fostering innovation. Dr. Gangavarapu delivered guest lectures on Ethical AI and AI applications at premier institutions such as Columbia University, Georgia State University, and Mercer University. He shared his expertise at several industry forums with published research in IEEE journals and collaborations with various federal regulators on Responsible AI (RAI). Dr. Gangavarapu’s work extends beyond academia and conferences, as he has led the development and deployment of enterprise-wide AI initiatives that improved credit underwriting, fraud, marketing, operational efficiency, and customer retention. His efforts have empowered organizations to scale AI capabilities, reduce costs, and achieve measurable business impact while maintaining a steadfast commitment to ethical AI governance. He holds a Doctorate in Business Administration from the Georgia State University J. Mack Robinson College of Business.

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