Abstract
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 language | English |
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Title of host publication | Artificial Intelligence |
Subtitle of host publication | Theory and Applications: Proceedings of AITA 2023, Volume 2 |
Editors | Harish Sharma, Antorweep Chakravorty, Shahid Hussain, Rajani Kumari |
Place of Publication | Singapore |
Publisher | Springer Singapore |
Pages | 229-243 |
Number of pages | 15 |
Volume | 2 |
Edition | 1st |
ISBN (Electronic) | 9789819984794 |
ISBN (Print) | 9789819984787 |
DOIs | |
Publication status | Published - 3 Jan 2024 |
Event | International Conference on Artificial Intelligence: Theory and Applications - Bangalore, India Duration: 11 Aug 2023 → 12 Aug 2023 https://scrs.in/conference/aita2023 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Publisher | Springer Singapore |
Volume | LNNS 844 |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | International Conference on Artificial Intelligence: Theory and Applications |
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Abbreviated title | AITA 2023 |
Country/Territory | India |
City | Bangalore |
Period | 11/08/23 → 12/08/23 |
Internet address |