Architecting Intelligent Governance

AI, Digital Twins, and Decision Systems
1. Auflage 2027
ISBN: 978-3-11-228689-0
Verlag: De Gruyter

Buch, Englisch, 200 Seiten, Format (B × H): 170 mm x 240 mm, Gewicht: 500 g

Reihe: IIITB - DeGruyter Brill Series

Governments and organizations are investing rapidly in artificial intelligence, digital twins, IoT and emerging technologies, yet outcomes often lag. The challenge is not technology alone, but the absence of decision-oriented system design, governance and institutional capability.

Architecting Intelligent Governance shifts the focus from technology adoption to decision architecture. It explains when intelligent technologies add value, how physical, data, AI and decision layers should connect, and how uncertainty, risk and accountability must be governed. Using cross-sectoral examples, the book examines digital twins, immersive systems, AI-enabled decisions, risk, assurance, skilling and implementation. It reframes ROI beyond financial return to include decision quality, transparency, resilience and reduced systemic risk. 

For practitioners, policymakers and graduate readers, it offers a practical framework for designing intelligent systems that deliver accountable outcomes.

Autoren/Hrsg.

Raj P K, Mukund

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmenskultur, Corporate Governance
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

Dr. Mukund Raj P. K. is a development technologist and policy economist with three decades of experience spanning technology, governance and economic systems. He has worked across government, international development institutions and the private sector in India, the Middle East, Africa and Southeast Asia. He advises RITES Limited and IIIT-Bangalore’s Lead Knowledge Institute under NITI Aayog’s State Support Mission on digital transformation and AI-enabled decision systems. A Lead Author for the Chapter 2 of UNESCO Science Report 2026, he has co-authored research in the ACM Journal on Computing and Sustainable Societies. His earlier research on open-source software and economic systems has been cited internationally across technology, sustainability, education and economics. His interests include AI governance, digital public infrastructure, digital twins, cybersecurity and applied quantum computing.