Special Issues

Trustworthy Artificial Intelligence for Smart City

Submission Deadline: 31 March 2023 (closed) View: 99

Guest Editors

Prof. Velliangiri Sarveshwaran, SRM Institute of Science and Technology, India
Dr. P. Karthikeyan, National Chung Cheng University, Taiwan
Prof. Danilo Pelusi, University of Teramo, Italy

Summary

Trustworthy Artificial Intelligence (TAI) is lawful, ethically adherent, and technically robust. It is based on the idea that AI will reach its full potential when trust can be established in each stage of its lifecycle, from design to development, deployment and use. A smart city uses TAI technologies to enhance the quality and performance of public services to improve citizens' lives. An intelligent city cares for its citizens and makes their life convenient so that they are peaceful and contented and may concentrate on finding the deeper purpose of life in their spare time. Right now, Smart Cities are one of the significant issues concerning the urban systems of most governments around the globe, particularly in developed nations. From a technology perspective, the smart city model considers a city as a complex framework of residents, assets, and administrations. Smart cities can be designed with intelligent energy management schemes on different levels starting from the home and ending in every branch in the city, including transportation, schools, hospital, factories, streets, etc. TAI automatically collects the model from different locations and builds the global model, deployment and governance to drive trust across the AI lifecycle. TAI is the most significant innovation for the smart city, which has immense potential to improve the quality of life and applies to almost every element of peoples' lives, including healthcare, public services, education, electronics, banking, etc. Today, TAI and increasingly complicated algorithms influence our lives and civilization more than ever. TAI systems can decrease resource usage by carefully monitoring and regulating information on society's pertinent energy needs.

 

TAI provides fair, explainable, transparent and robust services to smart city applications. Using trustworthy artificial intelligence in smart city planning and developing strategies is increasingly important. The constant monitoring of models for multiple Trustworthiness indicators, including accuracy, fairness, quality, and explainability, should be automated and integrated into an open platform's operating regulations and compliance processes. Configurable workflows are needed to automate compliance activities, and operational policies will differ across the enterprise depending on business segment requirements. TAI will play an increasingly important role in the development of sustainable cities. With the help of AI, compiled data about people's and vehicles' movement patterns can create communities that consume less energy and a safer and more efficient transport network.


Keywords

Trustworthy Artificial Intelligence framework design
  Recent Advances in Trustworthy Explainable Artificial Intelligence
TAI in Smart Cities: Reducing Bias and Creating Socially Responsive AI
Trustworthy Robots and Autonomous Systems
Explainable Artificial Intelligence for Smart City Application
Data governance: Organizing data for trustworthy Artificial Intelligence
TAI for living and liveability, safety, security and healthcare
Trustworthy Artificial Intelligence as a Service
The Challenges and Opportunities: Air Quality Management using TAI
Trustworthy deep learning model for smart city applications 
Smart City Governance application 
TAI for education and citizen participation
TAI traffic management system

Published Papers


  • Open Access

    ARTICLE

    A Novel Intrusion Detection Model of Unknown Attacks Using Convolutional Neural Networks

    Abdullah Alsaleh
    Computer Systems Science and Engineering, Vol.48, No.2, pp. 431-449, 2024, DOI:10.32604/csse.2023.043107
    (This article belongs to the Special Issue: Trustworthy Artificial Intelligence for Smart City)
    Abstract With the increasing number of connected devices in the Internet of Things (IoT) era, the number of intrusions is also increasing. An intrusion detection system (IDS) is a secondary intelligent system for monitoring, detecting and alerting against malicious activity. IDS is important in developing advanced security models. This study reviews the importance of various techniques, tools, and methods used in IoT detection and/or prevention systems. Specifically, it focuses on machine learning (ML) and deep learning (DL) techniques for IDS. This paper proposes an accurate intrusion detection model to detect traditional and new attacks on the… More >

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