Social, Ethical and Legal Aspects of Generative AI
Springer International Publishing (Verlag)
978-3-031-87251-8 (ISBN)
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.
About the Editors
Prof. (Dr.) Srikanta Patnaik is the Director of IIMT, Bhubaneswar. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999 and supervised 34 Ph. D. theses and more than 60 M. Tech theses in the area of Machine Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is author of 2 text books and edited 82 books and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. He is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and also Editors-in-chief of Book Series on Modeling and Optimization in Science and Technology published from Springer, Germany.
Prof. (Dr.) Jair Minoro Abe received B.A. and MSc in Pure Mathematics - University of Sao Paulo, Brazil. Also received the Doctor degree and Livre-Docente title from the same University. He is currently coordinator of Logic Area of Institute of Advanced Studies - University of Sao Paulo Brazil and Full Professor at Paulista University - Brazil. His research interest topics include Paraconsistent Annotated Logics and AI, ANN in Biomedicine and Automation, among others. He is Senior Member of IEEE. Professor Abe is a studious of a family of Paraconsistent Annotated Logic which is used to solve many complex problems in engineering. He has authored/edited books on Paraconsistent and related logic published by Springer Germany and other reputed publishers. He is the recipient of many awards including medals for his academic performance and also received many best articles awards. Professor Abe was the Editor-in-Chief of Publicações da Sociedade Paranaense de Matemática de 1990 - 1994. Presently, Professor Abe serves as Associate Editor and member of the Editorial Board of some journals related to the intelligent systems and applications. Professor Abe has supervised a number of PhD candidates successfully and presented a number of keynote addresses. He has authored/co-authored aroun
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.
| Erscheinungsdatum | 19.06.2025 |
|---|---|
| Reihe/Serie | Studies in Computational Intelligence |
| Zusatzinfo | XII, 146 p. 21 illus., 18 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Artificial Intelligence • Big Data • Computational Intelligence • generative AI • Social, Ethical, and Legal Aspects |
| ISBN-10 | 3-031-87251-7 / 3031872517 |
| ISBN-13 | 978-3-031-87251-8 / 9783031872518 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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