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Modern Smart Cities and Open Research Challenges and Issues of Explainable Artificial Intelligence
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Author(s): Siva Raja Sindiramutty (Taylor's University, Malaysia), Chong Eng Tan (Universiti Malaysia Sarawak, Malaysia), Wee Jing Tee (Taylor's University, Malaysia), Sei Ping Lau (Universiti Malaysia Sarawak, Malaysia), Sumathi Balakrishnan (Taylor's University, Malaysia), Sukhminder Kaur (Taylor's University, Malaysia), Husin Jazri (Taylor's University, Malaysia)and Muhammad Farhan Aslam Aslam (Questlab FAST Nust University, Pakistan)
Copyright: 2024
Pages: 36
Source title:
Advances in Explainable AI Applications for Smart Cities
Source Author(s)/Editor(s): Mangesh M. Ghonge (Sandip Institute of Technology and Research Centre, India), Nijalingappa Pradeep (Bapuji Institute of Engineering and Technology, India), Noor Zaman Jhanjhi (School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Malaysia)and Praveen M. Kulkarni (Karnatak Law Society's Institute of Management Education and Research (KLS IMER), Belagavi, India)
DOI: 10.4018/978-1-6684-6361-1.ch015
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Abstract
This chapter's purpose is to review the modern smart cities and open research challenges and issues of explainable artificial intelligence (XAI). With the advent of XAI, people's lives have been improved, and the idea of smart urban has been created. Although the anticipated advantages, the adoption of AI differs between smart cities in part because of challenges and issues that can prevent the adoption of AI in smart cities. This chapter will explore the importance of XAI in smart cities and what is the current state of the art in various XAI applications in smart cities, the open challenges of XAI in smart cities, the research issue of XAI in smart cities, case studies and examples, and evaluations and analysis XAI models in smart city application. The open challenges will be covering developing and Novel XAI with ontologies, assurance in ML algorithms, scalability of XAI models in smart cities, etc.
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