Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems - Hardcover

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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 like deepfake manipulation and data privacy violations, it offers actionable insights for policymakers, technologists, and organizations committed to fostering trust and societal benefit in AI applications.

The Black Box Dilemma — Unraveling the Governance of Artificial Intelligence 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 responsibly harness AI’s potential.