Advanced International Journal of Multidisciplinary Research

E-ISSN: 2584-0487   Impact Factor: 9.11

An Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Bridging the Algorithmic Divide: AI Governance and Sustainable Rural Service Delivery in India

Author(s) Lt. Dr. Kongala Sukumar
Country India
Abstract Artificial intelligence (AI) is increasingly positioned as an instrument for closing India's long-standing rural-urban service gap, yet its deployment risks superimposing a new "algorithmic divide" onto the existing digital divide. This paper examines how AI-enabled governance tools intersect with rural public service delivery in India across agriculture, healthcare, welfare targeting, and local self-government. Drawing on NITI Aayog's National Strategy for Artificial Intelligence, the Responsible AI framework, and secondary data from the Telecom Regulatory Authority of India and the National Statistical Office, the paper argues that algorithmic governance instruments amplify existing service outcomes only where a baseline of connectivity, digital literacy, and institutional capacity already exists. Absent these conditions, automation can entrench exclusion through misdirected welfare targeting, opaque decision-making, and erosion of frontline accountability. The paper develops a four-pillar framework for sustainable rural AI governance—infrastructural equity, algorithmic accountability, participatory design, and adaptive regulation—and illustrates it with comparative data tables on rural digital infrastructure and AI-enabled service delivery initiatives. It concludes that sustainable rural service delivery requires governance architecture that treats connectivity and human oversight as preconditions for, not by-products of, algorithmic modernization.
Keywords artificial intelligence governance, digital divide, rural service delivery, e-governance, algorithmic accountability, sustainable development, India.
Discipline Other
Published In Volume 1, Issue 1, July-August 2023
Published On 2023-07-05
DOI https://doi.org/10.62127/aijmr.2023.v01i01.1474

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