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Books on the topic 'Artificial Intelligence (AI) Technologies'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Nikolinakos, Nikos Th. EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies - The AI Act. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27953-9.

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2

Grebenyuk, Elena, Darya Danielyan, Sarkis Danielyan, and Sergey Kramarov. Artificial Intelligence in Education: Opportunities, Methods, and Recommendations for Educators. Publishing Center RIOR, 2024. http://dx.doi.org/10.29039/02147-7.

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The training and practical manual covers the main concepts and methods of utilizing artificial intelligence (AI) technologies in educational activities. The primary goal of this work is to provide educators in educational institutions with knowledge about the possibilities of applying AI in teaching, as well as practical recommendations for integrating these technologies into classroom activities. The publication is designed to develop educators' competencies in the field of artificial intelligence to enhance the quality of teaching and student performance. The book describes the use of AI to

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3

Sarjoughian, Hessam S. Discrete Event Modeling and Simulation Technologies: A Tapestry of Systems and AI-Based Theories and Methodologies. Springer New York, 2001.

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4

G, Maglogiannis Ilias, ed. Emerging artificial intelligence applications in computer engineering: Real word AI systems with applications in eHealth, HCI, information retrieval and pervasive technologies. IOS Press, 2007.

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5

Poil. AI Pudijŭm: In'gong chinŭng edo pulsŏng i chonjae halkka? Pulgyojŏk kwanchŏm ŭro para pon in'gong chinŭng ŭi hyŏnjae wa mirae = AI Buddhism. Tam aen Puksŭ, 2021.

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6

Raje, Rajeev R., Farookh Hussain, and R. Jagadeesh Kannan, eds. Artificial Intelligence and Technologies. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6448-9.

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7

Alareeni, Bahaaeddin A. M., and Islam Elgedawy, eds. Artificial Intelligence (AI) and Finance. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39158-3.

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8

Pinkwart, Niels, and Sannyuya Liu, eds. Artificial Intelligence Supported Educational Technologies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41099-5.

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9

Dagur, Arvind, Dhirendra Kumar Shukla, Nazarov Fayzullo Makhmadiyarovich, Akhatov Akmal Rustamovich, and Jabborov Jamol Sindorovich. Artificial Intelligence and Information Technologies. CRC Press, 2024. http://dx.doi.org/10.1201/9781003510833.

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10

Dagur, Arvind, Dhirendra Kumar Shukla, Nazarov Fayzullo Makhmadiyarovich, Akhatov Akmal Rustamovich, and Jabborov Jamol Sindorovich. Artificial Intelligence and Information Technologies. CRC Press, 2024. http://dx.doi.org/10.1201/9781032700502.

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11

Odincov, Boris. Models and intelligent systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1060845.

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The monograph consists of three chapters, the first of which outlines the theoretical foundations of intelligent information systems. Special attention is paid to the disclosure of the term "model" as the intended meaning depends on the understanding of the material. Introduces and examines the new concepts such as the associative and intuitive knowledge while in the creation of intellectual information systems are not used.  The second Chapter contains the analysis of problems of development of artificial intelligence (AI), developed in two directions: classical and statistical. Discuss

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12

Winston, Patrick Henry. Artificial intelligence. 3rd ed. Addison-Wesley, 1993.

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13

Long, Guodong, Xinghuo Yu, and Sen Wang, eds. AI 2021: Advances in Artificial Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97546-3.

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14

Nicholson, Ann, and Xiaodong Li, eds. AI 2009: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10439-8.

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15

Peng, Wei, Damminda Alahakoon, and Xiaodong Li, eds. AI 2017: Advances in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63004-5.

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16

Orgun, Mehmet A., and John Thornton, eds. AI 2007: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76928-6.

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17

Wobcke, Wayne, and Mengjie Zhang, eds. AI 2008: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89378-3.

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18

John, Davis, Stefan Pappe, Kristof Kloeckner, et al. Transforming the IT Services Lifecycle with AI Technologies. Springer, 2018.

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19

Geraci, Robert M. Futures of Artificial Intelligence. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9788194831679.001.0001.

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Twenty-first-century life is increasingly governed by artificial intelligence (AI) technologies such as machine learning, big data analysis, facial recognition, and robotics. For decades, an ideology of apocalyptic progress and cosmic transformation has accompanied the advancement of AI in the U.S.; that vision is intimately connected to transhumanism—the idea that humanity can transcend its limits, even mortality, using technology. Based on contributions from science and science fiction, advocates of such Apocalyptic AI suggest that the world will soon see godlike machine intelligence and tha

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20

Liao, S. Matthew, ed. Ethics of Artificial Intelligence. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190905033.001.0001.

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Featuring seventeen original essays on the ethics of artificial intelligence (AI) by today’s most prominent AI scientists and academic philosophers, this volume represents state-of-the-art thinking in this fast-growing field. It highlights central themes in AI and morality such as how to build ethics into AI, how to address mass unemployment caused by automation, how to avoid designing AI systems that perpetuate existing biases, and how to determine whether an AI is conscious. As AI technologies progress, questions about the ethics of AI, in both the near future and the long term, become more

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21

Lauterbach, Anastassia, and Andrea Bonime-Blanc. The Artificial Intelligence Imperative. ABC-CLIO, LLC, 2018. http://dx.doi.org/10.5040/9798400614835.

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This practical guide to artificial intelligence and its impact on industry dispels common myths and calls for cross-sector, collaborative leadership for the responsible design and embedding of AI in the daily work of businesses and oversight by boards. Artificial intelligence has arrived, and it's coming to a business near you. The disruptive impact of AI on the global economy—from health care to energy, financial services to agriculture, and defense to media—is enormous. Technology literacy is a must for traditional businesses, their boards, policy makers, and governance professionals. This i

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22

Juneja, Prathm. Artificial Intelligence for Electoral Management. International Institute for Democracy and Electoral Assistance, 2024. http://dx.doi.org/10.31752/idea.2024.31.

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As artificial intelligence (AI), including its potential role in influencing elections, has become an increasingly important topic, electoral management bodies have to develop plans to respond to and, in some cases, use AI to maintain free, fair and secure elections. AI is a rapidly evolving category of technologies that are largely unregulated, and very little research has been conducted so far concerning its potential impact on elections. This Report is aimed at supporting electoral management bodies and other relevant parties in developing a broad understanding of the opportunities, challen

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23

Mohan Kumar, Dr S. Artificial Intelligence: Foundations, Applications, and the Generative Future. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2025. https://doi.org/10.47716/978-93-92090-63-9.

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Artificial Intelligence (AI) is no longer confined to laboratories and theoretical models; it is now a driving force behind the digital transformation of society. Artificial Intelligence: Foundations, Applications, and the Generative Future provides an in-depth journey through AI’s essential principles, its wide-ranging applications, and the revolutionary impact of generative technologies. The book methodically builds knowledge from classical AI concepts like intelligent agents, search strategies, and knowledge representation, to advanced learning models including neural networks and machine l

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24

Shah, Vrushank. AI-Based Technologies and Applications in the Era of the Metaverse. IGI Global, 2023.

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25

Shah, Vrushank. AI-Based Technologies and Applications in the Era of the Metaverse. IGI Global, 2023.

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26

Shah, Vrushank. AI-Based Technologies and Applications in the Era of the Metaverse. IGI Global, 2023.

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27

Shah, Vrushank. AI-Based Technologies and Applications in the Era of the Metaverse. IGI Global, 2023.

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28

Peng, Shin-yi, Ching-Fu Lin, and Thomas Streinz, eds. Artificial Intelligence and International Economic Law. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108954006.

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Artificial intelligence (AI) technologies are transforming economies, societies, and geopolitics. Enabled by the exponential increase of data that is collected, transmitted, and processed transnationally, these changes have important implications for international economic law (IEL). This volume examines the dynamic interplay between AI and IEL by addressing an array of critical new questions, including: How to conceptualize, categorize, and analyze AI for purposes of IEL? How is AI affecting established concepts and rubrics of IEL? Is there a need to reconfigure IEL, and if so, how? Contribut

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29

Krittanawong, Chayakrit. Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics. Elsevier Science & Technology, 2023.

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30

Krittanawong, Chayakrit. Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics. Elsevier Science & Technology Books, 2023.

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31

Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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32

Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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33

Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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34

Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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35

Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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36

Taddeo, Mariarosaria. The Ethics of Artificial Intelligence in Defence. Oxford University Press, 2024. http://dx.doi.org/10.1093/oso/9780197745441.001.0001.

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Abstract The volume establishes an ethical framework for the identification, analysis, and resolution of ethical challenges that arise from the uses of artificial intelligence (AI) in defence, ranging from intelligence analysis to cyberwarfare and autonomous weapon systems. It does so with the goal of advancing the relevant debate and to inform the ethical governance of AI in defence. Centring on the autonomy and learning capabilities of AI technologies, the work is rooted in AI ethics and Just War Theory. It provides a systemic conceptual analysis of the different uses of AI in defence and th

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37

DiMatteo, Larry A., Cristina Poncibò, and Michel Cannarsa, eds. The Cambridge Handbook of Artificial Intelligence. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781009072168.

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The technology and application of artificial intelligence (AI) throughout society continues to grow at unprecedented rates, which raises numerous legal questions that to date have been largely unexamined. Although AI now plays a role in almost all areas of society, the need for a better understanding of its impact, from legal and ethical perspectives, is pressing, and regulatory proposals are urgently needed. This book responds to these needs, identifying the issues raised by AI and providing practical recommendations for regulatory, technical, and theoretical frameworks aimed at making AI com

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38

Innovative Smart Healthcare and Bio-Medical Systems: AI, Intelligent Computing and Connected Technologies. Taylor & Francis Group, 2020.

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39

Salem, Abdel-Badeeh. Innovative Smart Healthcare and Bio-Medical Systems: AI, Intelligent Computing and Connected Technologies. Taylor & Francis Group, 2020.

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40

Salem, Abdel-Badeeh. Innovative Smart Healthcare and Bio-Medical Systems: AI, Intelligent Computing and Connected Technologies. Taylor & Francis Group, 2020.

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41

Salem, Abdel-Badeeh. Innovative Smart Healthcare and Bio-Medical Systems: AI, Intelligent Computing and Connected Technologies. Taylor & Francis Group, 2020.

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42

Innovative Smart Healthcare and Bio-Medical Systems: Ai, Intelligent Computing and Connected Technologies. CRC Press LLC, 2023.

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43

Futures of Artificial Intelligence Through Technology Readiness Levels: AI Technologies Generality Capabilities Technology Readiness TRLs. Independently Published, 2021.

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44

EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies - the AI Act. Springer International Publishing AG, 2023.

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45

Bhushan, Megha, Sailesh Iyer, Ashok Kumar, Tanupriya Choudhury, and Arun Negi, eds. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150492511220101.

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Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due to advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart sol

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46

Vallor, Shannon, and George A. Bekey. Artificial Intelligence and the Ethics of Self-Learning Robots. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190652951.003.0022.

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The convergence of robotics technology with the science of artificial intelligence is rapidly enabling the development of robots that emulate a wide range of intelligent human behaviors. Recent advances in machine learning techniques have produced artificial agents that can acquire highly complex skills formerly thought to be the exclusive province of human intelligence. These developments raise a host of new ethical concerns about the responsible design, manufacture, and use of robots enabled with artificial intelligence—particularly those equipped with self-learning capacities. While the pot

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47

AI Technologies and Virtual Reality: Proceedings of 7th International Conference on Artificial Intelligence and Virtual Reality. Springer, 2024.

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48

Borah, Samarjeet, Sambit Kumar Mishra, Ritesh Dash, and ZdzIslaw Polkowski. Ai in Manufacturing and Green Technology. Taylor & Francis Group, 2020.

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49

AI Advantage: How Leading Businesses Put Cognitive Technologies to Work. MIT Press, 2018.

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50

Ethics in the AI, Technology, and Information Age. Rowman & Littlefield Publishers, Incorporated, 2022.

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