Algorithmic Tax Administration and the Doctrinal Limits of Procedural Fairness

This article argues that procedural fairness in AI-enabled tax administration requires an intelligibility requirement: taxpayers must receive a sufficiently understandable account of algorithmic contributions to adverse administrative action. Using Australian common law and OECD developments, it shows how existing administrative mechanisms can operationalize this duty without statutory reform.

Authors

Publication Details

Journal
Bulletin for international taxation
Published
2026-08-14
DOI
https://doi.org/10.59403/1mvvmns
Primary Topic
Education, Law, and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Algorithmic Tax Administration and the Doctrinal Limits of Procedural Fairness

H.M. Sembiring
Bulletin for international taxation
Education, Law, and Society
article

Algorithmic Tax Administration and the Doctrinal Limits of Procedural Fairness

H.M. Sembiring
article en

Abstract

This article argues that procedural fairness in AI-enabled tax administration requires an intelligibility requirement: taxpayers must receive a sufficiently understandable account of algorithmic contributions to adverse administrative action. Using Australian common law and OECD developments, it shows how existing administrative mechanisms can operationalize this duty without statutory reform.

Bulletin for international taxationVol. 80(9/10)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Education, Law, and Society
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Algorithmic Tax Administration and the Doctrinal Limits of Procedural Fairness — H.M. Sembiring · Bulletin for international taxation (2026) | TGRS Research Map | TGRS