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International Journal of Research and Innovation in Social Science (IJRISS)

Reframing “Technological Due Process” For Tax: Adapting Administrative Law Principles to Ai-Driven Audits, Automated Assessments, and Risk Scoring

byCharles Dickson Usen

Published December 31, 2025  •  Vol. 9, Issue 12, pp. 881–895Open Access
DOI: 10.47772/IJRISS.2025.91200070

Abstract

The digital transformation of tax administration is fundamentally altering the exercise of governmental taxing authority. Rather than reviewing tax returns retrospectively, revenue authorities are increasingly monitoring taxpayers in real time through data sharing, embedded regulatory rules, and algorithmic surveillance. As the IRS advances toward “Tax Administration 3.0,” supported by increased funding and artificial intelligence tools, procedural protections developed in the twentieth century are becoming increasingly inadequate.

Keywords: Technological Due Process; Tax Administration; Algorithmic Audit Selection

JournalInternational Journal of Research and Innovation in Social Science (IJRISS)
ISSN2454-6186
Volume / IssueVolume 9, Issue 12
Pages881–895
Publication dateDecember 31, 2025
DOI10.47772/IJRISS.2025.91200070
PublisherRSIS International
LicenseOpen Access

How to cite this article

Charles Dickson Usen (2025). Reframing “Technological Due Process” For Tax: Adapting Administrative Law Principles to Ai-Driven Audits, Automated Assessments, and Risk Scoring. International Journal of Research and Innovation in Social Science (IJRISS), 9(12), 881-895. https://doi.org/10.47772/IJRISS.2025.91200070

BibTeX

@article{Charles2025,
  title   = {Reframing “Technological Due Process” For Tax: Adapting Administrative Law Principles to Ai-Driven Audits, Automated Assessments, and Risk Scoring},
  author  = {Charles Dickson Usen},
  journal = {International Journal of Research and Innovation in Social Science (IJRISS)},
  volume  = {9},
  number  = {12},
  pages   = {881--895},
  year    = {2025},
  doi     = {10.47772/IJRISS.2025.91200070},
  publisher = {RSIS International}
}