Melola Discovery

← Melola Discovery

Open access Journal

AI in Administrative Dispute Resolution: Exploring Opportunities and Risks

Indonesian State Law Review (ISLRev) · Vol. 7 No. 2 (2025) · pp. 137–146

DOI
10.15294/islrev.v7i2.18877
ISSN
2654-8763, 2654-3125
Published
2025-03-25
Publisher
Universitas Negeri Semarang
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

The integration of Artificial Intelligence (AI) into the resolution of administrative disputes presents both significant opportunities and potential risks within the legal framework. As administrative courts globally face growing caseloads and demands for faster, more efficient decision-making, AI offers a promising solution for enhancing the speed, accuracy, and consistency of legal processes. This research explores the potential applications of AI in Indonesia's administrative justice system, focusing on its role in case management, decision support, and predictive analytics. The findings highlight several key opportunities, including AI’s potential to streamline case processing, reduce human error, and improve access to justice by automating routine tasks. Additionally, AI can help predict legal outcomes based on data-driven insights, offering both practitioners and courts valuable tools to enhance decision-making. However, the study also identifies significant risks, such as the potential for bias in algorithmic decision-making, lack of transparency, and concerns over the loss of human oversight in critical legal decisions. These risks may undermine the fairness and accountability of administrative dispute resolution. The novelty of this research lies in its focus on the intersection of AI and administrative law, offering a fresh perspective on how emerging technologies can be harnessed to improve judicial efficiency while addressing the inherent challenges. The urgency of this exploration is underscored by the increasing demand for reforms in administrative justice systems. This study contributes valuable insights for policymakers and legal professionals on how to balance innovation with safeguards to ensure AI’s responsible and equitable use in administrative dispute resolution.

Keywords

Collaboration network of the authors

30 authors · 101 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ridwan ArifinAffiliation unknown5
Didik PurnomoAffiliation unknown3
Siti Hafsyah IdrisAffiliation unknown3
Anis WidyawatiAffiliation unknown3
Rohadhatul AisyAffiliation unknown2
Shofriya Qonitatin AbidahAffiliation unknown2
Rafli Zidan Eka RamadhanAffiliation unknown2
Rifqi Anugrah TamaAffiliation unknown2
Mohamad IkromAffiliation unknown2
Edward DixonAffiliation unknown2
Layla Putri AulyaAffiliation unknown2
Zaharuddin Sani Ahmad SabriAffiliation unknown2
Fateema MuslihatunAffiliation unknown1
Fateema Muslihatun NajihahAffiliation unknown1
Muhammad Azil MaskurAffiliation unknown1
Ali MasyharAffiliation unknown1
Aprilia WijayantiAffiliation unknown1
Wildan Azkal FikriAffiliation unknown1
Benny SumardianaAffiliation unknown1
Tajudeen SaniAffiliation unknown1
Pujiyono PujiyonoAffiliation unknown1
Izan Mateo CassandroAffiliation unknown1
Barda Nawawi AriefAffiliation unknown1
Rully NasrullohAffiliation unknown1
Dian LatifianiAffiliation unknown1
Waspiah WaspiahAffiliation unknown1
Hanif HelmiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/islrev/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">AI in Administrative Dispute Resolution: Exploring Opportunities and Risks</dc:title>
	<dc:creator xml:lang="en">Wibowo, Esa Maulana</dc:creator>
	<dc:creator xml:lang="en">Nte, Ngaboawaji Daniel</dc:creator>
	<dc:creator xml:lang="en">Kusuma, Bagus Hendradi</dc:creator>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en">Administrative Disputes</dc:subject>
	<dc:subject xml:lang="en">Legal Innovation</dc:subject>
	<dc:subject xml:lang="en">Judicial Efficiency</dc:subject>
	<dc:subject xml:lang="en">Risk and Ethics</dc:subject>
	<dc:description xml:lang="en">The integration of Artificial Intelligence (AI) into the resolution of administrative disputes presents both significant opportunities and potential risks within the legal framework. As administrative courts globally face growing caseloads and demands for faster, more efficient decision-making, AI offers a promising solution for enhancing the speed, accuracy, and consistency of legal processes. This research explores the potential applications of AI in Indonesia's administrative justice system, focusing on its role in case management, decision support, and predictive analytics. The findings highlight several key opportunities, including AI’s potential to streamline case processing, reduce human error, and improve access to justice by automating routine tasks. Additionally, AI can help predict legal outcomes based on data-driven insights, offering both practitioners and courts valuable tools to enhance decision-making. However, the study also identifies significant risks, such as the potential for bias in algorithmic decision-making, lack of transparency, and concerns over the loss of human oversight in critical legal decisions. These risks may undermine the fairness and accountability of administrative dispute resolution. The novelty of this research lies in its focus on the intersection of AI and administrative law, offering a fresh perspective on how emerging technologies can be harnessed to improve judicial efficiency while addressing the inherent challenges. The urgency of this exploration is underscored by the increasing demand for reforms in administrative justice systems. This study contributes valuable insights for policymakers and legal professionals on how to balance innovation with safeguards to ensure AI’s responsible and equitable use in administrative dispute resolution.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-03-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/islrev/article/view/18877</dc:identifier>
	<dc:identifier>10.15294/islrev.v7i2.18877</dc:identifier>
	<dc:source xml:lang="en">Indonesian State Law Review (ISLRev); Vol. 7 No. 2 (2024): Indonesian State Law Review, October 2024; 137-146</dc:source>
	<dc:source>2654-8763</dc:source>
	<dc:source>2654-3125</dc:source>
	<dc:source>10.15294/islrev.v7i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/islrev/article/view/18877/6423</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Esa Maulana Wibowo, Ngaboawaji Daniel Nte, Bagus Hendradi Kusuma</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>