Overview

Generative artifical intelligence (AI) technologies are reshaping the way we create, communicate, and compute, presenting both unprecedented opportunities and profound challenges. As these systems increasingly influence decisions that shape our lives, it becomes clear that performance metrics alone cannot define their success. A deeper understanding of the intersection between technical innovation and human values is essential to navigate this transformative era. The Art and Ethics of Generative AI: Fairness, Transparency, and Human Values provides a balanced exploration of generative AI, combining technical insights with ethical considerations. It explains generative model architectures and learning paradigms in an accessible way while addressing critical issues such as algorithmic bias, explainability challenges, and emerging regulatory approaches. Practical frameworks for responsible AI development are offered, alongside multidisciplinary perspectives that bridge technical and humanistic viewpoints. Abstract concepts are brought to life through practical illustrations, demonstrating how ethical considerations play out in real-world AI applications. Designed for a wide audience, the book serves AI practitioners seeking actionable guidance for building responsible systems, researchers exploring nuanced ethical dimensions, educators and students looking for comprehensive learning materials, and policymakers needing governance insights. It is an essential resource for anyone engaged in the rapidly evolving AI ecosystem.

Full Product Details

9781041197355

Table of Contents

Reviews

Author Information

Kirti Seth is currently working as a Professor in the School of Computer and Information Engineering at INHA University in Tashkent, Uzbekistan. She is a researcher and academician in the field of Computer Science and Engineering with over twenty years of experience in teaching and research. Her research interests include Component-Based Systems, Service-Oriented Architecture, Bio-Inspired Optimization Techniques, Neural Networks, Artificial Intelligence, and Computer Security. Nidhi Gupta is an Associate Professor in the Department of Computer Science and Engineering, Sharda University, Greater Noida, India. She has over 20 years of academic experience, with a strong emphasis on research and scholarly publishing. Her research interests include Artificial Intelligence & Machine Learning, Computer Vision, and Information Retrieval. Ashish Seth is a Teacher, Consultant, Researcher, and an Author. He is a Professor at the School of Computer & Information Engineering, Inha University in Tashkent, Uzbekistan. He has been into research and academics for more than 22 years. He has worked at various Universities in India and abroad, holding different positions and responsibilities. He has organized and participated very actively in various conferences, workshops, and seminars.

Tab Content 6

Countries Available