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

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Future Proof Civic Participation Platforms with Behavioral Insight Driven Policy Making Artificial Intelligence and Big Data Analytics

Authors
M. Silpa Raj1, Pallav Kumar Kaulwar2, P. Shanmuga Raja3, Sumit Pokhriyal4, 5, Sivakumar Ponnusamy6, *, G. Geetha Ramani7
1Assistant Professor, Department of Computer Science and Engineering (Cyber Security), CVR College of Engineering, Hyderabad, Telangana, India
2IT Director, KPMG, Dallas, USA
3Associate Professor, Department of IT, Sona College of Technology, Salem, Tamil Nadu, India
4Assistant Professor, Department of Physics, Graphic Era Hill University, Dehradun, India
5Adjunct Professor, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India
6Professor, Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchengode, Namakkal, Tamil Nadu, India
7Assistant Professor, Department of Mathematics, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
*Corresponding author. Email: sivakumar.p@gmail.com
Corresponding Author
Sivakumar Ponnusamy
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_56How to use a DOI?
Keywords
Artificial Intelligence; Big Data Analytics; Civic Participation; Policy-making; Machine Learning; Behavioral Insights
Abstract

Using AI and Big Data in civic participation can transform policy-making by offering data-driven insights and predicting citizen behavior. To achieve a transparent policy, this study studied the opportunities offered by AI-driven decision-making models, machine learning and generative AI tools that can accelerate the democratic process and promote consensus-driven decision-making. Based on a review of 20 sources specifically, the paper compiles conceptual approaches, case studies, policy reports and empirical research that exemplify the theory behind this potential path and more importantly detail the success in achieving the goals of streamlining public decision-making, increasing the participation rates of various stakeholders and increasing the quality of governance. Ethical implications, fairness in ML and challenges like algorithmic bias, privacy concerns or digital surveillance are also analyzed. This study seeks to deliver a fuller picture of AI-enhanced participatory democracy along with understanding the caveats with which it can be deployed effectively and ethically. This discovery reaffirms the notion that AI and Big data can act as a catalyst to support democratic processes, ensure inclusiveness, which, when used ethically and with strategic intent, are beneficial tools for a well-functioning democracy.

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.

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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_56How 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  - M. Silpa Raj
AU  - Pallav Kumar Kaulwar
AU  - P. Shanmuga Raja
AU  - Sumit Pokhriyal
AU  - Sivakumar Ponnusamy
AU  - G. Geetha Ramani
PY  - 2025
DA  - 2025/05/23
TI  - Future Proof Civic Participation Platforms with Behavioral Insight Driven Policy Making Artificial Intelligence and Big Data Analytics
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 648
EP  - 660
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_56
DO  - 10.2991/978-94-6463-718-2_56
ID  - Raj2025
ER  -