Artificial Intelligence and the Future of Smart Cities

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 834

Special Issue Editors


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Guest Editor
Information Systems Engineering and Management, Harrisburg University of Science and Technology, Harrisburg, PA, USA
Interests: virtual reality; smart city; social media

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Guest Editor
Department of Computer Science, California State University, Dominguez Hills, Carson, CA, USA
Interests: AI policy and smart cities; urban planning; Internet of Things and heterogeneous wireless networks; cloud/edge computing; machine learning; cybersecurity

Special Issue Information

Dear Colleagues,

The Special Issue titled 'Artificial Intelligence and the Future of Smart Cities' explores the transformative role of AI in enhancing urban environments. As cities worldwide strive for smarter, more sustainable development, AI emerges as a pivotal force in orchestrating complex urban systems and services. This Special Issue aims to gather cutting-edge research that showcases AI-driven innovations in urban planning, infrastructure management, environmental monitoring, and public safety. Contributions will demonstrate how AI technologies such as machine learning, data analytics, and IoT integration not only optimize city operations but also improve quality of life and reduce ecological footprints. By highlighting diverse implementations from global contexts, this Issue will offer insights into challenges, technological advancements, and policy frameworks shaping the future of smart cities. It seeks to spur academic discourse and guide practical implementations that propel cities towards more adaptive, resilient, and intelligent futures.

Prof. Dr. Amjad Umar
Dr. Ali Jalooli
Guest Editors

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Keywords

  • artificial intelligence
  • smart cities
  • urban planning
  • sustainable development
  • IoT in urban contexts
  • AI-driven infrastructure management
  • environmental monitoring
  • public safety technology
  • data analytics in urban management
  • AI policy and smart cities

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Published Papers (1 paper)

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Research

14 pages, 5936 KiB  
Article
GeoLocator: A Location-Integrated Large Multimodal Model (LMM) for Inferring Geo-Privacy
by Yifan Yang, Siqin Wang, Daoyang Li, Shuju Sun and Qingyang Wu
Appl. Sci. 2024, 14(16), 7091; https://doi.org/10.3390/app14167091 - 13 Aug 2024
Viewed by 312
Abstract
To ensure the sustainable development of artificial intelligence (AI) application in urban and geospatial science, it is important to protect the geographic privacy, or geo-privacy, which refers to an individual’s geographic location details. As a crucial aspect of personal security, geo-privacy plays a [...] Read more.
To ensure the sustainable development of artificial intelligence (AI) application in urban and geospatial science, it is important to protect the geographic privacy, or geo-privacy, which refers to an individual’s geographic location details. As a crucial aspect of personal security, geo-privacy plays a key role not only in individual protection but also in maintaining ethical standards in geoscientific practices. Despite its importance, geo-privacy is often not sufficiently addressed in daily activities. With the increasing use of large multimodal models (LMMs) such as GPT-4 for open-source intelligence (OSINT), the risks related to geo-privacy breaches have significantly escalated. This study introduces a novel GPT-4-based model, GeoLocator, integrated with location capabilities, and conducts four experiments to evaluate its ability to accurately infer location information from images and social media content. The results demonstrate that GeoLocator can generate specific geographic details with high precision, thereby increasing the potential for inadvertent exposure of sensitive geospatial information. This highlights the dual challenges posed by online data-sharing and information-gathering technologies in the context of geo-privacy. We conclude with a discussion on the broader impacts of GeoLocator and our findings on individuals and communities, emphasizing the urgent need for increased awareness and protective measures against geo-privacy breaches in the era of advancing AI and widespread social media usage. This contribution thus advocates for sustainable and responsible geoscientific practices. Full article
(This article belongs to the Special Issue Artificial Intelligence and the Future of Smart Cities)
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