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Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications - Softcover
Inhaltsangabe
Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence.
Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment.
The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.
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Loveleen Gaur is currently working as Professor, Program Director Artificial Intelligence and Data Analytics at Amity International Business School, Amity University, India. She has more than 20 years of teaching, research, and administrative experience internationally. She is the founding director of MBA in Artificial Intelligence and Data Analytics in Amity International Business School. She is supervising number of PhD scholars, Post Graduate students, mainly in Artificial Intelligence and Data Analytics for business and management. Under her guidance, the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals.
She is a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and has several Patents/copyrights on her account, edited/authored more than 20 research books published by world-class publishers. She has excellent experience in supervising and co-supervising postgraduate students internationally. An ample number of Ph.D. and master’s students graduated under her supervision. She is an external Ph.D./Master thesis examiner/evaluator for several universities globally. She has completed internationally funded research grants successfully. She has also served as Keynote speaker for several international conferences, presented several Webinars worldwide, chaired international conference sessions. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in over three hundred scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks.
Biswa Mohan Sahoo is a Senior Member, IEEE. He has received the B.Tech and M.Tech degree in computer science and engineering from Biju Patnaik University of Technology, Odisha,India and PhD degree in computer science and engineering from Indian Institute of Technology (IIT), Dhanbad, India. He is currently working as an Assistant Professor, Manipal University, Jaipur, India. He has 15 years of teaching experience in different universities in India. He has published more than 18 articles in prestigious international peer review journals and conferences in Wireless Sensor Networks, Swarm Intelligence and Artificial Intelligence. His currently focus on artificial intelligence approaches on sensor networks. His research interest area is wireless sensor network, IoT and Artificial intelligence.
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Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence.
Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment.
The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.
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Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications
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Explainable Artificial Intelligence for Intelligent Transportation Systems : Ethics and Applications
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Springer International Publishing, 2023
ISBN 10: 3031096460
ISBN 13: 9783031096464
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Transportation typically entails crucial 'life-death' choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence.Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment.The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations. Artikel-Nr. 9783031096464
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Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications
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