Operational AI Ethics A Governance Architecture for Accountable AI Systems
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Operational AI Ethics
A Governance Architecture for Accountable AI Systems
Vijay A. Kanade
This book provides the first comprehensive architecture for designing accountable, auditable, and enforceable AI systems. Moving beyond principles and policy debates, this book introduces lifecycle governance models, responsibility matrices, audit trail frameworks, and compliance scoring systems that embed ethics directly into system design.
The book is written for AI engineers, governance architects, regulators, and advanced graduate students. It equips readers with the tools needed to transform ethical aspiration into operational reality in an era of mandatory AI audits and liability enforcement.
The book introduces the following key modules:
- Lifecycle-based governance models
- Responsibility mapping matrices
- Audit trail architectures
- Ethical compliance scoring systems
- Risk-tiered monitoring frameworks
- Post-deployment oversight mechanisms
Vijay A. Kanade is the founder and CEO of Alpha Singularity, a next-gen research lab at the forefront of interdisciplinary innovation. With over a decade of experience in the R&D sector, Vijay has built a distinguished career that spans intellectual property (IP) management, academic research, and industry expertise.
Throughout his career, Vijay has worked with some of the most influential companies in technology, driving key R&D and IP initiatives. His experience in managing intellectual property rights has been instrumental in advancing new technologies while ensuring comprehensive legal protections.
Vijay’s research record includes numerous papers published in leading international journals and conferences. He has also developed novel products and practical innovations in fields such as AI, wireless tech, environmental science, and others. It showcases his diverse interests across fields such as AI, Bio-inspired Algorithms, IoT, and Wireless Technology to Neuroscience, Biophysics, BCI, and Medical technologies. With a portfolio of 50+ research papers published in prestigious journals like Springer, ACM, IEEE, and other renowned Scopus indexed Journals and International Conferences, Vijay stands at the forefront of innovation and knowledge in multiple domains
As an AI expert, Vijay has also coauthored a widely recognized book on ‘AI in Medical Imaging Technology,’ published by Springer in 2024. The book highlights AI’s transformative role in healthcare.
Vijay’s academic journey includes collaborations with top-tier universities, such as MIT, Columbia University, University of California (UCSB), Central Michigan University, Manchester Metropolitan University, National University of Singapore, and so on. These collaborations have further enriched his global perspective. He has been a regular visitor at several such institutions, sharing his expertise and exploring collaborative research opportunities.
| Publication Date: | 24 February 2027 |
| Publisher: | Springer Nature Switzerland |
| Imprint: | Springer |
| ISBN-13: | 9783032398338 |
| Format: | Hardback |
| Page Count: | 352 |