Home / Volume 8, Issue 5 / Algorithmic Audits and Automated Eyes: The Rise of… Open access · CC BY-NC 4.0
Research Paper Volume 8 Issue 5 954 - 976 October 4, 2025

Algorithmic Audits and Automated Eyes: The Rise of AI Surveillance by Tax Authorities and the Shrinking Sphere of Data Protection

Lead author · Corresponding
Amit Kumar Padhy
Research Scholar at Maharashtra National Law University, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1110838
Abstract

As India’s tax authorities embrace artificial intelligence (AI) for compliance enforcement, audit detection, and taxpayer behavior analysis, the boundaries between efficient governance and personal privacy have blurred. Leveraging AI-powered analytics and faceless assessments, agencies like the Central Board of Direct Taxes (CBDT) now deploy predictive models to track transactions, identify outliers, and automate interventions, transforming traditional tax administration. Yet, this surge in algorithmic oversight presents profound challenges to data protection. Automated systems increasingly depend on bulk personal data, often processed without explicit or informed consent, raising critical questions about the adequacy of India’s current legal safeguards. The Digital Personal Data Protection Act, 2023 (DPDPA), while pioneering in many respects, offers broad exemptions to statutory authorities engaged in investigations effectively allowing access to individuals’ digital footprints with limited oversight or prior notice. In practice, this means AI tools may comb through vast datasets, flagging non-compliance or tax evasion without robust transparency or accountability mechanisms. Such powers risk undermining the fundamental privacy rights enshrined under Article 21 of the Indian Constitution unless tempered by judicial oversight, data minimization, and rigorous audit trails. This paper critically evaluates the intersection of AI adoption in tax enforcement and the evolving regulatory landscape for data protection in India. It assesses global best practices, highlights legal and ethical blind spots, and offers policy recommendations to ensure effective, responsible, and rights-respecting deployment of AI. Ultimately, the integration of algorithmic governance must be balanced by transparent safeguards so technological innovation does not come at the expense of citizen rights and trust in public institutions.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 5, Page 954 - 976
DOI: https://doij.org/10.10000/IJLMH.1110838
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

Export citation


        
📢 Call for Papers — Volume IX Issue III now open  ·  Impact Factor 7.010  ·  Indexed in HeinOnline, Manupatra & Google Scholar + 1000+ Libraries  ·  Free DOI Submit Now →
Chat with us