Mastering Ai Governance: A Guide to Building Trustworthy and Transparent Ai Systems - Couverture rigide

Gangavarapu, Rajendra

Couverture rigide

ISBN 10 : 3031936809 ISBN 13 : 9783031936807

Editeur : Springer International Publishing AG, 2025

Synopsis

This book takes you deep into the heart of the challenges and opportunities presented by the rapid evolution of Artificial Intelligence (AI) technologies. This groundbreaking book highlights the critical need for ethical, transparent, and accountable AI systems in an era of transformative innovation. Through a comprehensive exploration of real-world cases, forward-thinking strategies, and emerging governance frameworks, this book equips readers to navigate the complexities of AI governance. From addressing bias and fairness in AI systems to mitigating risks such as deepfake manipulation and data privacy violations, it provides actionable insights for policymakers, technologists, and organizations committed to fostering trust and societal benefits in AI applications.

Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems dives into a future where innovation thrives under the guiding principles of ethics, inclusivity, and governance excellence. Whether you are a business leader, technologist, academic, or tech-savvy AI enthusiast, this book delivers the tools and knowledge necessary to harness AI's potential responsibly.

Offers actionable strategies for implementing ethical AI practices, ensuring fairness, transparency, and accountability; Provides cutting-edge insights on AI risks and delves into emerging threats and strategies to mitigate them effectively; Offers real-world case studies and explores global regulations and how they shape the future of ethical AI governance.

A propos du livre

À propos de l?auteur

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.

Détails de l'édition

• Éditeur: Springer International Publishing AG
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 3031936809
• ISBN 13: 9783031936807
• Reliure: Relié
• Nombre de pages: 158
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne