This book examines the fundamental concepts and principles of digital transformation and AI, including their historical development, and underlying technologies, and analyzes the opportunities arising from digital transformation and AI in different sectors, such as healthcare, finance, education, transportation, and governance. It provides a comprehensive overview of digital transformation and AI technologies and their current state of implementation. It also explores the potential challenges and risks associated with digital transformation and AI, including ethical considerations, job displacement, privacy concerns, biases, impact on inequality, social interactions, and the overall well-being of individuals and communities. Additionally, the books provides and discusses policy and regulatory frameworks that can effectively address the opportunities and

challenges posed by digital transformation and AI leading to responsible AI. It also delves into impact of automation on the job market and workforce. The book concludes by proposing potential strategies for navigating opportunities and challenges of digital transformation and AI integration. It emphasizes the need for interdisciplinary collaboration among stakeholders, including policymakers, industry leaders, academia, and civil society, to develop a comprehensive approach towards harnessing the full potential of digital transformation and AI and associated technologies. The book employs a multidisciplinary approach, drawing from various fields such as computer science, sociology, philosophy, political science, economics, law and governance. It combines theoretical analysis, empirical case studies, and expert perspectives to provide a holistic view of the subject matter.

This book caters to a diverse audience, including students, researchers, academics, policymakers, industry professionals, and technology enthusiasts. It provides a valuable resource for those seeking a comprehensive understanding ofthe opportunities and challenges arising from

the integration of digital transformation and AI in society.

Contains real-world examples and case studies illustrating practical applications & positive impact of AI across sectors Addresses ethical concerns surrounding AI and digital transformation Provides practical recommendations for various stakeholders -- governments, businesses, and individuals

Autorentext

Dr Sachin Kumar is Assistant Professor of Computer Science at Cluster Innovation Centre (CIC), University of Delhi (UoD), Delhi, India. He is also an executive officer of the University of Delhi Foundation, an endowment fund section 8, not-for-profit company of UoD. He has been awarded a PhD degree from the Department of Computer Science, University of Delhi(UoD) on a thesis titled "Modeling and Prediction of Building Energy Performance Using Machine Learning Approaches". His research work has been published in the domain of intelligent information systems, urban computing and smart systems reputed international high-impact factor SCI/SCIE/Scopus journals and conferences such as Energy and Buildings (Elsevier, IF=7.6), Sustainable Cities and Societies (Elsevier, IF=10.5), Sustainable Energy, Grids and Networks (Elsevier, IF=5.6). His thesis primarily focuses on developing models for energy performance optimization through modelling and prediction of energy usage toimprove energy conservation in residential and commercial buildings in order to achieve the goal of sustainable cities and societies to contribute to Sustainable Development Goals (SDGs). He secured several placement offers during MCA and after completion served as a software development engineer(SDE) with IHS Markit Information Mosaic, United Kingdom(UK). He is offering courses and supervising research and development in the area of Artificial Intelligence/Machine Learning/Deep Learning, Industry 4.0, Digital Transformation and Governance, Smart Cities, Urban Computing, Information Systems and Computational Social Systems. He has published more than 25 peer review research publications in high-impact factor SCI/SCIE/Scopus-indexed journals and conferences. He has also written a book on operating systems titled "Operating Systems: Concept Building and Problem Solving Approach'' published by Cengage Publication, USA. He has participated in and demonstrated his research works at domain-specific several highly reputed international conferences such as IEEE-ELM, ISTA, ISDA, IEEE-WCCI, IEEE-IJCNN, ACM-ICEGOV, etc. He has been invited as a resource person to many conferences, faculty development programs (FDPs), refresher courses, and workshops to share his knowledge and expertise. His main thrust is to develop technological artefacts to solve societal problems with the application of technology and specifically Artificial Intelligence/Machine Learning, Big data analytics and their deployment in a real-world environment. He also writes on technology and social issues in national newspapers and news web portals and creates digital content for creating awareness about technology and social issues on the youtube channel "Professor and Mentor". He has been continuously providing his consultations to corporations and startups. He is also promoting interdisciplinary research, innovation, and entrepreneurship, through project-driven pedagogy, research publication outputs, and startup promotion. Prof. Ajit Kumar Verma is a Professor in the Faculty of Technology, Environmental and Social Sciences, Western Norway University of Applied Sciences, Haugesund, Norway (since 2012) and was a Professor/ Senior( HAG) scale Professor for around 15 years with the Reliability Engg/Department of Electrical Engineering at IIT Bombay with a research focus in RAMS, Risk & Safety Engineering, Computational Intelligence applications in various domains. He was awarded (2017) 'Honorary Professor' at Amity University, India and also a Life Time Achievement award at IIT Madras by SRESA. He has supervised/co-supervised 39 PhDs and over 100 Masters theses( IITB; HVL,Norway; Univ.of Gåvle,Sweden; LJM Univ,UK; WMG, Warwick Univ, UK) in the area of Electronic Systems Reliability, Software Reliability, Reliable Computing, Power Systems Reliability, Reliability Centred Maintenance , Soft Computing in RAMS for Complex Engineering Systems and Probabilistic Safety/Risk Ass

Inhalt

Chapter 1: Introduction and Background.- Chapter 2: Historical Aspects of Society and Transformation.- Chapter 3: Digitalisation, Artificial Intelligence, IoT and Industry 4.0.- Chapter 4: Digital Transformation and Digital Society.- Chapter 5: Digital Transformation and Knowledge-Economy.- Chapter 6: Artifcial Intelligence Driven Systems: Smart Cities and Smart Governnace.- Chapter 7: Future Artificial Intelligence and Intelligent Factories.- Chapter 8: Opportunities and Challenges for Data-Driven and Circular Economy.- Chapter 9: Industry 4.0 and International Relations Leading to Globalization 4.0.- Chapter 10: Information Consumption Patterns, Fake News and Deep Fake.- Chapter 11: Artifcial Intelligence and Climate Change Mitigation.- Chapter 12: Digital Revolution, Artificial Intelligence and Ethical Challenges.- Chapter 13: Moving towards responsible Artificial Intelligence.- Chapter 14: Conclusion.