001443059 000__ 04311cam\a2200529\a\4500 001443059 001__ 1443059 001443059 003__ OCoLC 001443059 005__ 20230310003524.0 001443059 006__ m\\\\\o\\d\\\\\\\\ 001443059 007__ cr\un\nnnunnun 001443059 008__ 211206s2022\\\\sz\\\\\\o\\\\\000\0\eng\d 001443059 019__ $$a1287674666$$a1287895077$$a1287920161$$a1288213335$$a1294352880$$a1296666081 001443059 020__ $$a9783030721886$$q(electronic bk.) 001443059 020__ $$a3030721884$$q(electronic bk.) 001443059 020__ $$z3030721876 001443059 020__ $$z9783030721879 001443059 0247_ $$a10.1007/978-3-030-72188-6$$2doi 001443059 035__ $$aSP(OCoLC)1287616858 001443059 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dN$T$$dOCLCO$$dUPM$$dDCT$$dDKU$$dOCLCO$$dWAU$$dOCLCQ$$dOCLCO$$dTXI$$dOCLCQ 001443059 049__ $$aISEA 001443059 050_4 $$aQ335 001443059 08204 $$a006.3$$223 001443059 24500 $$aHumanity driven AI :$$bproductivity, well-being, sustainability and partnership /$$cFang Chen, Jianlong Zhou, editors. 001443059 260__ $$aCham, Switzerland :$$bSpringer,$$c[2022] 001443059 300__ $$a1 online resource 001443059 336__ $$atext$$btxt$$2rdacontent 001443059 337__ $$acomputer$$bc$$2rdamedia 001443059 338__ $$aonline resource$$bcr$$2rdacarrier 001443059 347__ $$atext file 001443059 347__ $$bPDF 001443059 5050_ $$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. 001443059 506__ $$aAccess limited to authorized users. 001443059 520__ $$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. 001443059 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 16, 2021). 001443059 650_0 $$aArtificial intelligence. 001443059 650_0 $$aHuman-computer interaction. 001443059 650_6 $$aIntelligence artificielle. 001443059 655_0 $$aElectronic books. 001443059 7001_ $$aChen, Fang$$c(Researcher on machine learning),$$eeditor. 001443059 7001_ $$aZhou, Jianlong,$$eeditor. 001443059 77608 $$iPrint version:$$z3030721876$$z9783030721879$$w(OCoLC)1240305126 001443059 852__ $$bebk 001443059 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72188-6$$zOnline Access$$91397441.1 001443059 909CO $$ooai:library.usi.edu:1443059$$pGLOBAL_SET 001443059 980__ $$aBIB 001443059 980__ $$aEBOOK 001443059 982__ $$aEbook 001443059 983__ $$aOnline 001443059 994__ $$a92$$bISE