Social, Ethical and Legal Aspects of Generative AI - Tools, Techniques and Systems

Social, Ethical & Legal Aspects of Generative AI: Tools, Techniques, and Systems highlights the transformative exploration of the AI revolution. This groundbreaking discourse deciphers the nexus between cutting-edge generative AI tools and the societal framework that shapes their impact. Generative AI is more than a technological marvel; it s a societal force reshaping industries, education, healthcare, and governance. Explore the ethical dilemmas, legal challenges, and innovative solutions driving its global adoption. This volume provides an insight into the latest innovations and state-of-the-art research in the fields of Social, Ethical & Legal Aspects of Generative AI, showcasing their potential to address AI's profound societal implications. It spans a diverse array of topics, including:

• Advanced AI-driven creative tools revolutionizing industries.
• Navigating the legal landscape of generative technologies.
• Addressing biases, data privacy, and societal inclusivity.
• Shaping a future where technology and humanity coexist harmoniously.

By merging cutting-edge theoretical insights with practical applications, this volume provides researchers, practitioners, and students with the essential knowledge and tools to explore and advance within the dynamic field of Social, Ethical & Legal Aspects of Generative AI. Generative AI technologies bring transformative potential but also raise critical questions about privacy, bias, and accountability, demanding ethical frameworks to guide their development and deployment. The social implications of generative AI include its impact on employment, creativity, and human interactions, necessitating balanced approaches to ensure inclusivity and equity. Legal challenges surrounding generative AI focus on intellectual property, liability for AI-generated content, and adherence to global data protection laws. Addressing the ethical, social, and legal aspects of generative AI is essential to fostering innovation while safeguarding human rights and societal well-being. 

List of contents

1. Designing AI Systems with User Empathy and Inclusivity: Navigating Bias and Representation.- 2. Harnessing the power of AI: A resource-based view of the Med Tech Industry.- 3. Implementation of Generative AI.- 4. Cultural Shifts and Artificial Superintelligence.- 5. A Study on the Role of Artificial Intelligence in Digital Marketing and It s Influence on Customer Buying Behaviour.

About the author

Dr. Srikanta Patnaik, Director of IIMT Bhubaneswar, holds a PhD in Engineering from Jadavpur University. He has supervised 34 PhD and 60+ M.Tech theses, published 100+ research papers, authored 2 books, and edited 82 books and book chapters. He is Editor-in-Chief of several international journals and book series published by Inderscience and Springer.
Dr. Jair Minoro Abe, from the University of Sao Paulo, holds a doctorate and Livre-Docente title. His research interests include Paraconsistent Annotated Logics and AI, ANN in Biomedicine and Automation. A Senior IEEE Member, he has authored/edited books on Paraconsistent Logic and published 300+ works. He has supervised numerous PhD candidates and serves on editorial boards of several journals. His research interests include system design, Paraconsistent Annotated Logic, aviation human factors, intelligent decision making, and cognitive studies.
Dr. Kazumi Nakamatsu, of the University of Hyogo, Japan, holds an Ms. Eng. and Dr. Sci. His research focuses on logic and its applications to computer science, particularly paraconsistent annotated logic programs. He has developed ALPSN, VALPSN, EVALPSN, and bf-EVALPSN, applying them to intelligent systems. He has authored/co-authored 150+ papers, 20 book chapters, and edited 10 books. He is Editor-in-Chief of IJRIS and serves on editorial boards of other journals.
Dr. Francesco Vigliarolo, of the Catholic University of La Plata, holds a PhD in Social Sciences. He directs the UNESCO Chair in "Economic Systems and Human Rights" at the National University of La Plata. His research focuses on local development, territorial identities, associative production, and ethical finance. He has published extensively on topics like ethical social capital, economic socialization, economic phenomenology, and meso-economic approaches.

Summary

Social, Ethical & Legal Aspects of Generative AI: Tools, Techniques, and Systems highlights the transformative exploration of the AI revolution. This groundbreaking discourse deciphers the nexus between cutting-edge generative AI tools and the societal framework that shapes their impact. Generative AI is more than a technological marvel; it’s a societal force reshaping industries, education, healthcare, and governance. Explore the ethical dilemmas, legal challenges, and innovative solutions driving its global adoption. This volume provides an insight into the latest innovations and state-of-the-art research in the fields of Social, Ethical & Legal Aspects of Generative AI, showcasing their potential to address AI's profound societal implications. It spans a diverse array of topics, including:

• Advanced AI-driven creative tools revolutionizing industries.
• Navigating the legal landscape of generative technologies.
• Addressing biases, data privacy, and societal inclusivity.
• Shaping a future where technology and humanity coexist harmoniously.

By merging cutting-edge theoretical insights with practical applications, this volume provides researchers, practitioners, and students with the essential knowledge and tools to explore and advance within the dynamic field of Social, Ethical & Legal Aspects of Generative AI. Generative AI technologies bring transformative potential but also raise critical questions about privacy, bias, and accountability, demanding ethical frameworks to guide their development and deployment. The social implications of generative AI include its impact on employment, creativity, and human interactions, necessitating balanced approaches to ensure inclusivity and equity. Legal challenges surrounding generative AI focus on intellectual property, liability for AI-generated content, and adherence to global data protection laws. Addressing the ethical, social, and legal aspects of generative AI is essential to fostering innovation while safeguarding human rights and societal well-being. 

Product details

• Assisted by: Jair Minoro Abe (Editor), Jair Minoro Abe (Editor), Kazumi Nakamatsu (Editor), Kazumi Nakamatsu et al (Editor), Srikanta Patnaik (Editor), Francesco Vigliarolo (Editor)
• Publisher: Springer, Berlin
• Languages: English, German
• Product format: Hardback
• Release: 25.07.2025
• EAN: 9783031872518
• ISBN: 978-3-0-3187251-8
• No. of pages: 134
• Illustrations: X, 134 p. 22 illus., 18 illus. in color.
• Series: Studies in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Big Data, Datenbanken, Artificial Intelligence, Data Engineering, Computational Intelligence, Generative AI, Social, Ethical, and Legal Aspects