Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

<Previous Article In Volume
Next Article In Volume>

Next Generation Artificial Intelligence Driven Collaborative Platforms for Civic Initiatives Real Time Decision Making and Sustainable Urban Development

Authors
B. Raveendranadh1, *, K. Ambika2, S. David Samuel Azariya3, J. Veni4, Gauri Shanker Kushwaha5, D. Jansirani6
1Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
2Assistant Professor, Department of CSE (AI&ML), CVR College of Engineering, Hyderabad, Telangana, India
3Assistant Professor, Department of IT, Sona College of Technology, Salem, 636005, Tamil Nadu, India
4Assistant Professor, Department of MBA, J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
5Department of Physical Sciences, Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya, Chitrakoot Satna, Madhya Pradesh, India
6Department of MBA, Department of IT, New Prince Shri Bhavani College of Engineering and Technology, Chennai, 600073, Tamil Nadu, India
*Corresponding author. Email: bravindra64@gmail.com
Corresponding Author
B. Raveendranadh
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_71How to use a DOI?
Keywords
Artificial Intelligence; Smart Cities; Civic Engagement; AI-IoT Integration; Urban Planning; Generative AI; Sustainable Urban Development; Real-Time Decision Making; AI Governance; Large Language Models; AI-Driven Urban Management
Abstract

The leaps in Artificial Intelligence (AI) in recent years have been unparalleled, spawning world-class collaborative platforms to align civic strategies, illuminate near-term realities, and steward sustainable, long-term urban outcomes. These features integrate AI governance, ethical use of AI, and generative intelligence and performance work for smart city platforms. Therefore, a base where evidence-based policy making and decision making with Large Language Models (LLMs) is also informed through such integrations of AI-IoTs. Generative AI encourages democratic civic engagement — citizens in charge of their cities. Beyond this, an adoption of AI-oriented metaverse solutions with sustainable AI architectures can also help push many of these modernization efforts forward. Green Urban Systems and AI: This study explores the applications of AI managing problems on governance, sustainability, urban mobility, and infrastructure enhancement. AIs technology can reshape the way cities engage in work believed to have transformed them into responsive, adaptive and proactive organizations. It emphasizes on the fact that AI can facilitate in metamorphosizing urban spaces into smart spaces, effective and human-centric spaces.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_71How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - B. Raveendranadh
AU  - K. Ambika
AU  - S. David Samuel Azariya
AU  - J. Veni
AU  - Gauri Shanker Kushwaha
AU  - D. Jansirani
PY  - 2025
DA  - 2025/05/23
TI  - Next Generation Artificial Intelligence Driven Collaborative Platforms for Civic Initiatives Real Time Decision Making and Sustainable Urban Development
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 828
EP  - 839
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_71
DO  - 10.2991/978-94-6463-718-2_71
ID  - Raveendranadh2025
ER  -