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Title	Open Challenges And Research Issues Of Xai In Modern Smart Cities
ID_Doc	40118
Authors	Khan A.; Jhanjhi N.Z.; binti Awang Haji Hamid D.H.T.; bin Haji Omar H.A.H.
Year	2024
Published	Advances in Explainable AI Applications for Smart Cities
DOI	http://dx.doi.org/10.4018/978-1-6684-6361-1.ch008
Abstract	The increasing use of AI in modern smart cities calls for explainable artificial intelligence (XAI) systems that can improve the efficiency and effectiveness of city operations while being transparent, interpretable, and trustworthy. Developing a unified framework for XAI that can handle the heterogeneity of data and systems in smart cities is the first challenge, considering the need to incorporate human factors and preferences in AI systems. The second challenge is developing new XAI methods that can handle the complexity and scale of smart city data. Addressing ethical and legal aspects is also critical, including ensuring that AI systems are fair and unbiased, protecting citizens' privacy and security, and establishing legal frameworks. Evaluating the effectiveness and usability of XAI systems is also crucial in improving city operations and stakeholder trust apart from XAI research for smart cities: improved visualization, human feedback, integration. © 2024, IGI Global. All rights reserved.
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