International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 3 July-September 2026 Submit your research before last 3 days of September to publish your research paper in the issue of July-September.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 17 Issue 3
July-September 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Algorithmic Trust Deficits: Public Perceptions of AI-Enabled Administrative Decision-Making in India

Author(s) Lt. Kongala Sukumar
Country India
Abstract As Indian public administration increasingly deploys artificial intelligence (AI) to automate welfare targeting, law enforcement, tax assessment, and service delivery, questions of public trust have become central to the legitimacy of digital governance. This paper examines the phenomenon of “algorithmic trust deficits” – the gap between the technical promise of AI-enabled administrative systems and citizens’ willingness to accept their outcomes – in the Indian context. Drawing on a synthesis of policy documents, scholarly literature, and secondary survey evidence, the paper develops a conceptual framework identifying five interacting drivers of trust deficits: opacity of decision logic, weak statutory accountability, algorithmic bias against marginalised groups, inadequate data protection, and limited grievance redressal. Using case illustrations from Aadhaar-linked welfare authentication, the Crime and Criminal Tracking Network and Systems (CCTNS), and automated toll-collection and surveillance systems, the paper argues that India’s AI governance architecture – anchored in NITI Aayog’s non-binding “AI for All” strategy – has outpaced the legal and institutional safeguards needed to sustain public confidence. The paper concludes with policy recommendations centred on algorithmic auditing, participatory design, and statutory accountability, arguing that trust, rather than technical performance alone, will determine the long-term legitimacy of algorithmic governance in India.
Keywords algorithmic accountability; artificial intelligence governance; public trust; administrative law; digital governance; India.
Published In Volume 13, Issue 3, July-September 2022
Published On 2022-08-06
DOI https://doi.org/10.71097/IJSAT.v13.i3.11491
View / Download PDF File

Share this


CrossRef

Crossref DOI prefix of IJSAT is 10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 17 Isu 3Cover Page Vol 17 Isu 2Cover Page Vol 17 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics 		Join as a Reviewer
Editors & Reviewers
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org