Description
Artificial Intelligence (AI) has transformative potential in shaping the future of urban living. AI-driven initiatives are revolutionizing various aspects of smart city development, from infrastructure optimization to environmental sustainability. At the heart of this lies the concept of citizen-centric design, where AI technologies are harnessed to prioritize the needs, preferences, and well-being of urban communities across key domains such as transportation, energy management, public safety, healthcare, and governance. An emphasis on ethical considerations in AI deployment, including privacy protection, transparency, accountability, and inclusivity, is critical for ensuring that AI technologies are developed and deployed in a manner that respects the rights and dignity of urban residents.
Citizen-Centric Artificial Intelligence for Smart Cities provides insights into the role of AI in shaping smart city development and offers policy recommendations for leveraging AI to improve urban governance, service delivery, and citizen engagement. This comprehensive analysis uncovers the ways in which AI-based services are reshaping the urban landscape and empowering citizens to actively participate in the co-creation of their cities, inspiring the exploration of new avenues and the development of innovative solutions to address urban challenges. Covering topics such as robotic communication, disaster situational awareness, and data governance, this book is an excellent resource for policymakers, government officials, computer scientists, professionals, researchers, scholars, academicians, and more.
Author's/Editor's Biography
Parveen Singh (Ed.)
Parveen Singh
Associate Professor, Department of Computer Science, Cluster University Jammu. Completed PhD (2015-2019) on UGC Teacher fellowship, as full time research Scholar at University of Jammu, J&K, worked in the Area of Data mining, on the topic “Analytic Study of Data Mining based model for public Health Care Management”. Strong math background and 6+ years of experience in using predictive modeling, data processing, and data mining algorithms to solve challenging medical problems. Involved in Python open source community and passionate about deep reinforcement learning. Recently awarded (April 2021) DST (Department of science and technology) project titled “Creating a Dashboard of Survey on Usage of ICT and learning Management System during Covid-19 Pandemic in colleges and Universities in UT of Jammu and Kashmir”.