Part I AI and Humanity Chapter 1 Towards Humanity-in-The-Loop in AI Lifecycle Jianlong Zhou and Fang Chen
Chapter 2 AI and Ethics --- Operationalising Responsible AI Liming Zhu, Xiwei Xu, Qinghua Lu, Guido Governatori, and Jon Whittle
Part II AI for Productivity Chapter 3 Machine Learning for Efficient Water Infrastructure Management Zhidong Li, Bin Liang, and Yang Wang
Chapter 4 AI for Real-Time Bus Travel Time Prediction in Traffic Congestion Management Yuming Ou
Chapter 5 The Future of Transportation: How to Improve Railway Operation Performance via Advanced AI Techniques Boyu Li, Ting Guo, Yang Wang, and Fang Chen
Part III AI for Wellbeing Chapter 6 Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health Guodong Long, Tao Shen, Yue Tan, Leah Gerrard and Jing Jiang
Chapter 7 AI-Enhanced 3D Biomedical Data Analytics for Neuronal Structure Reconstruction Heng Wang, Yang Song, Zihao Tang, Chaoyi Zhang, Jianhui Yu, Dongnan Liu, Donghao Zhang, Siqi Liu, and Weidong Cai
Chapter 8 Artificial Intelligence for Fighting the COVID-19 Pandemic Rohit Salgotra, Iman Rahimi, and Amir H Gandomi
Part IV AI for Sustainability Chapter 9 Sewer Corrosion Prediction for Sewer Network Sustainability Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, and Fang Chen
Chapter 10 AI Applied to Air Pollution and Environmental Health: A Case Study on Hypothesis Generation Colin Bellinger, Mohomed Shazan Mohomed Jabbar, Osnat Wine, Charlene. Nielsen, Jesus Serrano-Lomelin, Alvaro Osornio-Vargas, and Osmar R. Zaiane
Chapter 11 SharkSpotter: Shark Detection with Drones for Human Safety and Environmental Protection Nabin Sharma, Muhammed Saqib, Paul Scully-Power, and Michael Blumenstein
Part V AI + Human Partnership Chapter 12 Learner Engagement Examination via Computer Usage Behaviors Kun Yu, Jie Xu, Yuming Ou, Ling Luo, and Fang Chen
Chapter 13 Virtual Teaching Assistants: Technologies, Applications and Challenges Jun Liu, Lingling Zhang, Bifan Wei, and Qinghua Zheng
Chapter 14 Artificial Intelligence and People with Disabilities: A Reflection on Human-AI Partnerships Jason J.G. White
Chapter 15 Towards a Taxonomy for Explainable AI in Computational Pathology Heimo Mueller, Michaela Kargl, Markus Plass, Bettina Kipperer, Luka Brcic, Peter Regitnig, Christian Geissler, Tobias Kuester, Norman Zerbe and Andreas Holzinger
About the Author: Dr Chen is a prominent leader in data science with an international reputation and industrial recognitions. She has created many innovative research and solutions, transforming industries that utilise data science.Dr Chen and her team won the 2018 Australian leading science prize Australian Museum Eureka Prize for Excellence in Data Science.
Dr. Zhou is a leading senior researcher in trustworthy and transparent machine learning, and has done pioneering research in the area of linking human and machine learning. He also works with industries in advanced data analytics for transforming data into actionable operations particularly by incorporating human user aspects into machine learning and translate machine learning into impacts in real world applications.
