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When Algorithms Refuse: The Right To A Reasoned Government Decision In The Age Of Artificial Intelligence

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Sideque N, B.S. Abdur Rahman Crescent School of Law


ABSTRACT


Governments increasingly use artificial intelligence to support decisions on welfare, taxation, licensing, immigration and public security. These systems may improve administrative efficiency, but they can also make it difficult for an affected person to understand why a decision was taken. This paper examines whether an AI-assisted government decision can satisfy the legal duty to give reasons. It analyses the black-box problem, the implications of opaque automated decision-making for equality, privacy, fair procedure and effective remedies, and the allocation of responsibility between public authorities and private technology providers. Drawing on international human-rights instruments and comparative case law from the Netherlands, the United Kingdom, the United States and the European Union, it argues that a legally adequate reason must be case-specific, intelligible and capable of challenge. The paper proposes mandatory human review for high-stakes decisions, case-specific explanations, independent audits, discrimination testing, proper records, effective appeals and clear institutional accountability.


Keywords: artificial intelligence; automated decision-making; right to reasons; algorithmic transparency; human rights; administrative law.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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