Digital Transformation, Artificial Intelligence and Society
Springer Nature (Verlag)
978-981-97-5655-1 (ISBN)
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.
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 Assessment in power plants and Computational Intelligence Applications in multiple domains. He has executed various research projects in India to promote industry interface and has been the course co-ordinator for industry CEPs like Reliability Engineering, Six Sigma, Software Inspections, Competency Tracking System and Software Reliability for IT industries. He is also a Guest Professor at Lulea University of Technology, Sweden and was an adjunct at the University of Stavanger. He has several publications to his credit. He was the Editor-in-Chief of OPSEARCH published by Springer (Jan 2008-Jan 2011). He is currently the Patron and Founder Editor-in-Chief of the International Journal of Systems Assurance Engineering and Management (IJSA) published by Springer and is the Editor-in-Chief of the journal of Life Cycle Reliability and Safety Engineering published by Springer. He has been a Guest Editor of Special Issues of various journals. He has been an author/editor in over a dozen books and is also a series editor in several book series including the 'Frontiers of Artificial intelligence, Ethics and Multidisciplinary Applications'. Dr Amna Mirza is an Academician, Author, Social Entrepreneur, and Curator of Ideas on technology and society. She is Associate Professor in the Department of Political Science at Shyama Prasad Mukherji College for Women, University of Delhi and former Associate Professor at Sarojini Naidu Centre for Women Studies, Jamia Millia Islamia, Delhi, India. She has done Masters's Degree in Political Science from Hindu College, University of Delhi and M.Phil & PhD from the Dept of Political Science, University of Delhi. She has 8 books to her credit, which were well-received by academia, media and others alike. She has more than 20 research papers in reputed peer-reviewed journals & has participated in more than 100 conferences at the national and international level for paper presentations and as a resource person to deliver invited lectures, amongst others. She has patents awarded by the governments of Australia and India, supervised two PhD candidates, pursued two research projects, and contributed towards MOOCs, among others. She has also pursued additional coursework from HarvardX, amongst others. Her research areas include Digital transformation, Industry 4.0, Foreign Affairs, Digital Society, International Political Economy, Globalization, and International Relations. An avid traveller, voracious reader & vegan, her academic initiatives took her to the University of Duisburg Essen (Germany) and the University of Fribourg (Switzerland), amongst others. She is a recipient of 'The Godfray Philips Golden Ovary Award', the St. Stephens College Centenary Medal for 'character combined with learning', the Bharat Nirman Award for Women Entrepreneurship, the Mook-Nayak National Award, and the Business Rankers Women Achievement Award, amongst others. She has been associated with art & culture festivals and regularly contributes columns to several newspapers in multiple languages.
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.
| Erscheinungsdatum | 20.08.2024 |
|---|---|
| Reihe/Serie | Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications |
| Zusatzinfo | 61 Illustrations, color; 4 Illustrations, black and white; XXX, 193 p. 65 illus., 61 illus. in color. |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Office Programme ► Outlook |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Allgemeines / Lexika | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Artificial Intelligence • Digital Society • Digital transformation • Ethical Biases • responsible AI |
| ISBN-10 | 981-97-5655-3 / 9819756553 |
| ISBN-13 | 978-981-97-5655-1 / 9789819756551 |
| Zustand | Neuware |
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