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Title	A Secure And Reliable Framework For Explainable Artificial Intelligence (Xai) In Smart City Applications
ID_Doc	4464
Authors	Algarni M.; Mishra S.
Year	2024
Published	Engineering, Technology and Applied Science Research, 14, 4
DOI	http://dx.doi.org/10.48084/etasr.7676
Abstract	Living in a smart city has many advantages, such as improved waste and water management, access to quality healthcare facilities, effective and safe transportation systems, and personal protection. Explainable AI (XAI) is called a system that is capable of providing explanations for its judgments or predictions. This term describes a model, its expected impacts, and any potential biases that may be present. XAI tools and frameworks can aid in comprehending and trusting the output and outcomes generated by machinelearning algorithms. This study used XAI methods to classify cities based on smart city metrics. The logistic regression method with LIME achieved perfect accuracy, precision, recall, and F1-score, predicting correctly all cases. © by the authors.
Author Keywords	artificial intelligence; explainable artificial intelligence (XAI); machine learning; smart city

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