Page 373 - Kaleidoscope Academic Conference Proceedings 2024

FROM AUTOMATION TO INNOVATION: HARNESSING THE SYNERGY OF
GENERATIVE AI AND RETRIEVAL-AUGMENTED GENERATION FOR CITIZEN-
CENTRIC GOVERNANCE

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Swapnil, Morande ; Garima, Sogani ; Shashank, Shah
1 NITI Aayog, India
2 National Informatics Centre, India

ABSTRACT governance context. Limited research delves into the unique
capabilities of these technologies and how they can be
Presented study explores the transformative potential of harnessed to address the specific challenges facing India's e-
Generative Artificial Intelligence (AI) and Retrieval- governance ecosystem. Furthermore, the absence of real-
Augmented Generation (RAG) in India's e-governance world case studies or examples limits the practical
ecosystem. Employing a multi-faceted analytical approach, applicability of the existing findings. This research aims to
the research uncovers insights into AI's growth dynamics, bridge this gap by conducting a comprehensive investigation
perceptions, and impact on service delivery and citizen into the potential of Generative AI and RAG technologies in
engagement. The findings emphasize the need for robust transforming e-governance in India. By leveraging state-of-
security measures, ethical guidelines, and context-specific the-art AI models, analyzing diverse datasets, and
deployment strategies. By presenting a framework for incorporating primary data collection through expert
sustainable AI-driven knowledge management practices, the interviews, this study seeks to identify key areas within
study offers actionable recommendations to policymakers public administration where these technologies can be
and practitioners, fostering public trust and paving the way implemented to optimize processes, enhance decision-
for an efficient, citizen-centric governance model in India. making, and ultimately improve the efficacy and
This innovative research contributes significantly to the sustainability of e-governance systems. The primary
growing body of knowledge on AI-driven governance, objective of this research is to evaluate the impact of
positioning India at the forefront of this transformative Generative AI and RAG technologies on the efficiency,
journey. responsiveness, and citizen-centricity of e-governance in
India. By examining the growth of AI startups, investment
Keywords – Generative AI, Retrieval-Augmented trends in AI technologies, public and professional opinions
Generation, E-Governance, Citizen-Centric Governance on AI, and potential drivers for increased AI adoption, this
study aims to provide a comprehensive assessment of the
1. INTRODUCTION readiness and potential of these technologies in the Indian
governance context. The guiding research question for this
In the rapidly evolving landscape of digital governance, the study is: How can Generative AI and Retrieval-Augmented
integration of advanced technologies, such as Generative Generation technologies be effectively integrated into India's
Artificial Intelligence (AI) and Retrieval-Augmented e-governance framework to make governance more efficient,
Generation (RAG), has become paramount to enhancing proactive, and citizen-centric? To address this question, the
administrative efficiency and public service delivery [1]. research employs a multi-dimensional analysis strategy,
These technologies offer promising avenues for improving incorporating trend analysis, predictive modeling, sentiment
the responsiveness, cost-effectiveness, and citizen analysis, factor analysis, and cluster analysis, allowing for a
engagement of governance processes [2]. India, with its nuanced understanding of the current AI landscape in India,
ambitious digital governance agenda, is at the forefront of the specific governance challenges that can be addressed
this technological revolution. The country's e-governance through AI innovations, and the strategies for effective
initiatives have made significant strides in recent years, implementation.
leveraging digital platforms to deliver services, engage with
citizens, and streamline administrative processes [3]. 2. REVIEW OF LITERATURE
However, despite these advancements, challenges persist in
terms of efficiency, transparency, and inclusivity. While Generative AI models like GPT-2 [4] and GPT-3 [5] have
existing research has explored the applications of AI in demonstrated potential in automating complex governance
governance, there is a notable gap in understanding the processes, drafting policy documents, and enhancing citizen
specific potential of Generative AI and RAG in the Indian e-

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