Advances in Engineering Innovation

Advances in Engineering Innovation

Vol. 5, 21 March 2024


Open Access | Article

AI for smart cities opportunities and promising directions

Hasan Jalo Delli * 1
1 University of South Florida

* Author to whom correspondence should be addressed.

Advances in Engineering Innovation, Vol. 5, 44-48 Advances in Engineering Innovation,
Published 21 March 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Hasan Jalo Delli. AI for smart cities opportunities and promising directions. AEI (2024) Vol. 5: 44-48. DOI: 10.54254/2977-3903/5/2024041.

Abstract

The transformative potential of Artificial Intelligence (AI) in the realm of smart cities is an evolving landscape of innovation and challenges. This research undertook a comprehensive exploration of AI's impact, harnessing both quantitative and qualitative methodologies. Detailed analyses were performed on data from select smart cities globally, focusing on sectors such as energy, traffic, health services, and waste management. Additionally, perceptions and experiences of urban stakeholders were captured through interviews. The results solidified AI's tangible benefits in enhancing urban life quality, while also bringing forth concerns about data privacy, algorithmic biases, and socio-economic implications. The study concludes with a call for holistic AI frameworks, heightened public engagement, and interdisciplinary collaborations to ensure the ethical and sustainable evolution of AI-integrated smart cities.

Keywords

Smart Cities, Artificial Intelligence, Data Privacy, Algorithmic Bias, Urban Development

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
ISBN (Print)
ISBN (Online)
Published Date
21 March 2024
Series
Advances in Engineering Innovation
ISSN (Print)
2977-3903
ISSN (Online)
2977-3911
DOI
10.54254/2977-3903/5/2024041
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated