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003			ES-MaUEC
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008			230121s2022 sz | s |||| 0|eng d
020			_a9783030721886
024	7		_a10.1007/978-3-030-72188-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ335 _b2022 EB
245	0	0	_aHumanity Driven AI : _bProductivity, Well-being, Sustainability and Partnership _cedited by Fang Chen, Jianlong Zhou
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 330 páginas) _b111 ilustraciones, 101 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aPart I AI and Humanity -- Towards Humanity-in-The-Loop in AI Lifecycle -- AI and Ethics - Operationalising Responsible AI -- Part II AI for Productivity -- Machine Learning for Efficient Water Infrastructure Management -- AI for Real-Time Bus Travel Time Prediction in Traffic Congestion Management -- The Future of Transportation: How to Improve Railway Operation Performance via Advanced AI Techniques -- Part III AI for Wellbeing -- Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health -- AI-Enhanced 3D Biomedical Data Analytics for Neuronal Structure Reconstruction -- Artificial Intelligence for Fighting the COVID-19 Pandemic -- Part IV AI for Sustainability -- Sewer Corrosion Prediction for Sewer Network Sustainability -- AI Applied to Air Pollution and Environmental Health: A Case Study on Hypothesis Generation -- SharkSpotter: Shark Detection with Drones for Human Safety and Environmental Protection -- AI + Human Partnership -- Learner Engagement Examination via Computer Usage Behaviors -- Virtual Teaching Assistants: Technologies, Applications and Challenges -- Artificial Intelligence and People with Disabilities: A Reflection on Human-AI Partnerships -- Towards a Taxonomy for Explainable AI in Computational Pathology.
520			_aArtificial Intelligence (AI) is changing the world around us, and it is changing the way people are living, working, and entertaining. As a result, demands for understanding how AI functions to achieve and enhance human goals from basic needs to high level well-being (whilst maintaining human health) are increasing. This edited book systematically investigates how AI facilitates enhancing human needs in the digital age, and reports on the state-of-the-art advances in theories, techniques, and applications of humanity driven AI. Consisting of five parts, it covers the fundamentals of AI and humanity, AI for productivity, AI for well-being, AI for sustainability, and human-AI partnership. Humanity Driven AI creates an important opportunity to not only promote AI techniques from a humanity perspective, but also to invent novel AI applications to benefit humanity. It aims to serve as the dedicated source for the theories, methodologies, and applications on humanity driven AI, establishing state-of-the-art research, and providing a ground-breaking book for graduate students, research professionals, and AI practitioners.
988			_aSpringer_Computer_2022
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _9155848 _aInteracción hombre-ordenador
776	0	8	_iPrinted edition: _z9783030721879
776	0	8	_iPrinted edition: _z9783030721893
776	0	8	_iPrinted edition: _z9783030721909
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72188-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI