Building Human-Centered Generative AI
Description
This book addresses critical ethical, social, and technological challenges that arise from the rapid integration of Generative AI systems into diverse aspects of human life. The shift toward human-centered GAI emerges as a response to increasing concerns about AI's embedded biases, opacity, and potential misalignment with human values. By centering on human experiences, agency, and ethical principles, this paradigm fosters the development of GAI that is explainable, interpretable, trustworthy, and aligned with societal needs.
Building Human-Centered Generative AI offers a comprehensive roadmap for rethinking generative AI as a technology that serves people first, not metrics or scale. Bringing together principles from computer science, human-computer interaction, ethics, psychology, and design, it shows how empathy, fairness, transparency, and accountability can be systematically embedded into models, interfaces, and deployment lifecycles. Rather than treating ethics as an afterthought, the book positions human values, user needs, and social impact as core design requirements for any serious generative AI initiative.
Written for graduate students, researchers, practitioners, and policymakers, this book functions both as a scholarly reference and as a practical playbook for responsible innovation. It equips teams with actionable methods for participatory and value-sensitive design, human-in-the-loop collaboration, GenAIOps governance, and multidimensional evaluation focused on trust, usability, and societal impact. For anyone tasked with designing, deploying, or regulating generative AI, Building Human-Centered Generative AI provides the conceptual grounding and hands-on guidance needed to align powerful new technologies with human dignity, equity, and long-term social good.
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Persons
Tanmoy Hazra is an Assistant Professor in the Department of Artificial Intelligence at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, and currently serves as Head of the Department. He earned his Ph.D. from the Defence Institute of Advanced Technology (DRDO), Pune, and holds an M.Tech. from IIT-ISM Dhanbad and a B.Tech. from West Bengal University of Technology. With extensive teaching and research experience across premier institutions, his interests span machine learning, deep learning, and game-theoretic applications. He has authored and edited books with Springer, published widely in leading journals and conferences, and received a Best Paper Award at an IEEE conference. Dr. Hazra actively contributes as a reviewer, conference organizer, and invited speaker in national and international forums.
Kushal Anjaria is an Assistant Professor in the IT and Systems area at the Institute of Rural Management Anand (IRMA), Tribhuvan Sahkari University (TSU). He earned his PhD in Information Security in 2018 from the Department of Computer Science and Engineering at the Defence Institute of Advanced Technology (DIAT-DRDO). His research interests focus on cybernetics and artificial intelligence. He has authored around 30 research articles in international journals and conferences. He has also authored and co-authored three books, the latest of which is Sustainable Enterprise Resource Planning (S-ERP) for Industry 4.0: A Secure and Ethical Deployment Approach. He has worked on several research and consultancy projects with government and non-governmental organizations, including UNICEF, the Government of Gujarat, and the 16th Finance Commission of the Government of India.
Rahul Dixit is an Assistant Professor in the Department of Artificial Intelligence at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India, where he has been serving since 2023. Prior to this, he was associated with the Indian Institute of Information Technology (IIIT) Pune as an Assistant Professor. He received his Ph.D. from NIT Rourkela in 2019 and his M.Tech. degree from IIT Dhanbad. His primary research interests include multimedia security and multimedia forgery detection. He has published over 45 research papers in reputed journals and conferences and is the author of two books in the domain of image forgery detection. Recently, his research focus has expanded to artificial intelligence applications in healthcare, particularly in the area of cancer detection and analysis.
Nitesh Funde is currently working as an Assistant Professor in the Department of Artificial Intelligence at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat. He did Ph.D. in Computer Science & Engineering from Visvesvaraya National Institute of Technology (VNIT), Nagpur, India. He was working as a Lab Engineer at the Centre of Excellence for Commbedded Systems, Department of Electronics and Communication Engineering, VNIT, Nagpur. He has published number of research articles in various journals, conferences, and book chapters. His research interests include Data science, Applied AI/ML, Optimization for Cyber-Physical Systems, Smart Grids.
Content
Chapter 1 Introduction to Human-Centric Generative AI.- Chapter 2 Principles of Human-Centric Generative AI Design.- Chapter 3 Ethical Challenges in Generative AI.- Chapter 4 Design and Development Methodologies.- Chapter 5 Implementing Human-Centric Generative AI in Practice.- Chapter 6 The Future of Human-Centric Generative AI.