Data-Driven Decision Support Systems in E-Governance: Leveraging AI for Policymaking

Anudeep Arora, Prashant Vats, Neha Tomer, Ranjeeta Kaur, Ashok Kumar Saini, Sayar Singh Shekhawat, Monika Roopak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Data-driven decision support systems have been used more and more in e-governance as a result of the digital revolution. In order to improve the efficacy and efficiency of policymaking, this research article investigates the integration of artificial intelligence (AI) approaches into e-governance systems. Governments can access enormous volumes of data, and AI algorithms are used to analyze and extract insightful data that enables decision-making based on facts. The article emphasizes the advantages of using AI in the e-governance space while formulating policy. Decision support systems can analyze and understand complicated information by utilizing cutting-edge machine learning and data analytics approaches, revealing trends, patterns, and correlations that would be challenging for human analysts to manually find. As a result, decision-makers in government may make well-informed choices based on impartial research and data. The paper also examines the difficulties and factors to be considered when implementing AI in decision support systems for e-governance. With an emphasis on the significance of responsible AI governance frameworks, ethical issues, including algorithmic bias, transparency, and accountability are addressed. The article also explores the effects of incorporating AI into decision-making processes, including potential sociopolitical effects and the requirement for stakeholder participation and public confidence. The results of this study show how data-driven decision support systems may revolutionize e-governance policies when equipped with AI technology. Governments may enhance their decision-making processes and the outcomes of governance by using the power of big data and sophisticated analytics. This will lead to better public service delivery.

Original languageEnglish
Title of host publicationArtificial Intelligence
Subtitle of host publicationTheory and Applications: Proceedings of AITA 2023, Volume 2
EditorsHarish Sharma, Antorweep Chakravorty, Shahid Hussain, Rajani Kumari
Place of PublicationSingapore
PublisherSpringer Singapore
Number of pages15
ISBN (Electronic)9789819984794
ISBN (Print)9789819984787
Publication statusPublished - 3 Jan 2024
EventInternational Conference on Artificial Intelligence: Theory and Applications - Bangalore, India
Duration: 11 Aug 202312 Aug 2023

Publication series

NameLecture Notes in Networks and Systems
PublisherSpringer Singapore
VolumeLNNS 844
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceInternational Conference on Artificial Intelligence: Theory and Applications
Abbreviated titleAITA 2023
Internet address

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