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Generative AI ethics, privacy, and security : a guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches

[NT 42944] Record Type:	[NT 8598] Electronic resources : [NT 40817] monographic
[NT 47348] Title Information:	a guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches
[NT 47261] Author:	TalukdarWrick,
[NT 47354] Secondary Intellectual Responsibility:	BiswasAnjanava,
[NT 47351] Place of Publication:	Delhi
[NT 47263] Published:	BPB Publications;
[NT 47352] Year of Publication:	2025
[NT 47264] Description:	1 online resource (286 p.)
[NT 51458] Online resource:	https://portal.igpublish.com/iglibrary/search/BPB0000873.html
[NT 47265] Notes:	Includes bibliographical references and index
[NT 51398] Summary:	Access restricted to authorized users and institutions
[NT 50961] ISBN:	9789365899368
[NT 60779] Content Note:	Generative AI ethics, privacy, and security : a guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches Dedicated to About the Authors About the Reviewer Acknowledgements Preface Code Bundle and Coloured Images Table of Contents Chapter 1: Introduction to Generative AI Chapter 2: Foundations of Transformers, GANs, and Other Generative Models Chapter 3: Ethical Considerations in Generative AI Chapter 4: Privacy Challenges and Implications Chapter 5: Security Risks and Mitigation Strategies Chapter 6: Responsible Development and Governance Chapter 7: Legal and Regulatory Landscape of AI Systems Chapter 8: User Awareness and Education Chapter 9: Case Studies Chapter 10: Best Practices in Generative AI Deployment Chapter 11: Future Directions and Ethical Innovation Index

Generative AI ethics, privacy, and security : a guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches
Talukdar, Wrick

Generative AI ethics, privacy, and security [[electronic resource]] : a guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches / Wrick Talukdar, Anjanava Biswas - Delhi : BPB Publications, 2025. - 1 online resource (286 p.).
Generative AI ethics, privacy, and security : a guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches.
Includes bibliographical references and indexMode of access: World Wide Web.
ISBN 9789365899368ISBN 9789365899566

Biswas, Anjanava

Generative AI ethics, privacy, and security : a guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches
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200 1 $a Generative AI ethics, privacy, and security $b [electronic resource] $e a guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches $f Wrick Talukdar, Anjanava Biswas
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215 1 $a 1 online resource (286 p.)
300 $a Includes bibliographical references and index
300 $a Mode of access: World Wide Web
327 1 $a Generative AI ethics, privacy, and security : a guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches $a Dedicated to $a About the Authors $a About the Reviewer $a Acknowledgements $a Preface $a Code Bundle and Coloured Images $a Table of Contents $a Chapter 1: Introduction to Generative AI $a Chapter 2: Foundations of Transformers, GANs, and Other Generative Models $a Chapter 3: Ethical Considerations in Generative AI $a Chapter 4: Privacy Challenges and Implications $a Chapter 5: Security Risks and Mitigation Strategies $a Chapter 6: Responsible Development and Governance $a Chapter 7: Legal and Regulatory Landscape of AI Systems $a Chapter 8: User Awareness and Education $a Chapter 9: Case Studies $a Chapter 10: Best Practices in Generative AI Deployment $a Chapter 11: Future Directions and Ethical Innovation $a Index
330 $a Access restricted to authorized users and institutions
330 $a Generative AI is transforming industries globally, with the majority of organizations using generative AI in at least one business function. From the fundamental evolution of transformer models to the complex ethical questions they raise, this book equips readers with the knowledge to navigate AI with confidence. This book begins by introducing foundational concepts of generative AI and transformer model evolution, along with architectures, including GANs and autoencoders. It explores ethical frameworks and societal impacts, examines privacy challenges in data usage and generated content, and addresses security threats with mitigation strategies. Readers will learn responsible development and governance practices, navigate the legal and regulatory landscape, and learn how to educate users about AI capabilities and limitations. The book concludes with real-world case studies, best practices for deployment, and future directions for ethical innovation. Upon completing this book, readers will possess the knowledge and skills to lead generative AI initiatives, balancing innovation with ethical responsibility. They will be able to make informed decisions about AI deployment, implement security and privacy measures, ensure regulatory compliance, and build AI systems that drive business value while maintaining public trust and societal benefit. WHAT YOU WILL LEARN ● Explore transformer models, GANs, and autoencoder architectures. ● Implement ethical AI frameworks and bias mitigation strategies. ● Design privacy-preserving systems for sensitive data handling. ● Deploy security measures against adversarial attacks and misuse. ● Navigate global AI regulations and compliance requirements. ● Build responsible governance structures for AI deployment. ● Educate stakeholders on AI capabilities and limitations. ● Apply best practices through real-world case studies. WHO THIS BOOK IS FOR This book is designed for ML engineers, architects, developers, business leaders, and AI strategists who need to understand both the technical and ethical dimensions of generative AI. Whether you are steering organizational AI strategy or implementing AI solutions hands-on, this guide provides the essential knowledge for responsible deployment
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702 1 $a Biswas $b Anjanava $3 300891
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