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Who Bears the Risk? Mapping the Legal Liability of Artificial Intelligence Providers in Indonesia’s Regulatory Landscape

Journal of Indonesian Legal Studies · Vol. 11 No. 1 (2026) · pp. 111–146

DOI
10.15294/jils.v11i1.31133
ISSN
2548-1592, 2548-1584
Published
2026-06-13
Publisher
Universitas Negeri Semarang
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The accelerating advancement of Artificial Intelligence (AI) presents complex legal concerns in Indonesia, particularly in determining liability for damages arising from autonomous systems characterized by algorithmic opacity. Existing legal frameworks, including the Copyright Law, the Electronic Information and Transactions Law, and the Government Regulation on Electronic System Providers, have yet to adequately capture the legal implications of AI-based decision-making processes. This study employs a normative legal approach to examine Indonesia’s regulatory landscape and argues that AI cannot be acknowledged as a legal entity, thereby placing primary responsibility on AI system providers. While civil liability may be grounded in Articles 1365–1367 of the Civil Code, fault-based frameworks encounter significant challenges because of AI’s “black box” characteristics. Accordingly, this article proposes a shift toward risk-based approaches, including strict liability, shifting of the burden of proof, and mandatory transparency obligations. Furthermore, it emphasizes the need to transform ethical principles, as reflected in the Ministerial Circular on AI Ethics, into enforceable legal norms. A comprehensive regulatory framework integrating accountability, human rights, and legal certainty is therefore essential for responsible AI governance in Indonesia.

Keywords

Collaboration network of the authors

40 authors · 86 co-authorship links · showing the 40 most connected

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  • University of Mataram
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Rindia Fanny KusumaningtyasAffiliation unknown2
Inge Widya Pangestika PratomoAffiliation unknown2
Nida Nur HidayahAffiliation unknown2
Sabri BannaAffiliation unknown2
Nani ImaniyatiAffiliation unknown2
Naufal Hasanuddin DjohanAffiliation unknown2
Muhammad Fahad MalikAffiliation unknown2
Sihabudin SihabudinAffiliation unknown2
Esti YunitasariAffiliation unknown2
Nursalam NursalamAffiliation unknown2
Paramita PrananingtyasAffiliation unknown2
Ayu RahayuAffiliation unknown1
Shinta RatnawatiAffiliation unknown1
Rahma Wulan IdayantiAffiliation unknown1
M. Haris SeptianAffiliation unknown1
Nadia Ade LutfianaAffiliation unknown1
Muali MualiAffiliation unknown1
Danang Setyo AjiAffiliation unknown1
Deris LazuardiAffiliation unknown1
Anggoro PutrantoAffiliation unknown1
Andi Agus SalimAffiliation unknown1
Maulidina SariAffiliation unknown1
Nova Bela DhytaAffiliation unknown1
Ahmad Sholihin MuttaqinAffiliation unknown1
Eeng AhmanAffiliation unknown1
Dearni Dewi HasianyAffiliation unknown1
Suwatno SuwatnoAffiliation unknown1
Waspiah WaspiahAffiliation unknown1
Muhammad Iqbal BaiquniAffiliation unknown1
Dany Eka SaputraAffiliation unknown1
Nurul FibriantiAffiliation unknown1
Ro'fah SetyowatiAffiliation unknown1
Yuli RindyawatiAffiliation unknown1
ZentoniAffiliation unknown1
David M. L. TobingAffiliation 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/jils/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Who Bears the Risk? Mapping the Legal Liability of Artificial Intelligence Providers in Indonesia’s Regulatory Landscape</dc:title>
	<dc:creator xml:lang="en">Zakiyah, Ninik</dc:creator>
	<dc:creator xml:lang="en">Santoso, Budi </dc:creator>
	<dc:creator xml:lang="en">Mahfud, Muh. Afif</dc:creator>
	<dc:creator xml:lang="en">Makarim, Edmon</dc:creator>
	<dc:creator xml:lang="en">Hardyanthi, Try</dc:creator>
	<dc:subject xml:lang="en">Artificial Intelligence, Legal Liability, AI Ethics, Electronic System</dc:subject>
	<dc:description xml:lang="en">The accelerating advancement of Artificial Intelligence (AI) presents complex legal concerns in Indonesia, particularly in determining liability for damages arising from autonomous systems characterized by algorithmic opacity. Existing legal frameworks, including the Copyright Law, the Electronic Information and Transactions Law, and the Government Regulation on Electronic System Providers, have yet to adequately capture the legal implications of AI-based decision-making processes. This study employs a normative legal approach to examine Indonesia’s regulatory landscape and argues that AI cannot be acknowledged as a legal entity, thereby placing primary responsibility on AI system providers. While civil liability may be grounded in Articles 1365–1367 of the Civil Code, fault-based frameworks encounter significant challenges because of AI’s “black box” characteristics. Accordingly, this article proposes a shift toward risk-based approaches, including strict liability, shifting of the burden of proof, and mandatory transparency obligations. Furthermore, it emphasizes the need to transform ethical principles, as reflected in the Ministerial Circular on AI Ethics, into enforceable legal norms. A comprehensive regulatory framework integrating accountability, human rights, and legal certainty is therefore essential for responsible AI governance in Indonesia.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-06-13</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://journal.unnes.ac.id/journals/jils/article/view/31133</dc:identifier>
	<dc:identifier>10.15294/jils.v11i1.31133</dc:identifier>
	<dc:source xml:lang="en">Journal of Indonesian Legal Studies; Vol. 11 No. 1 (2026): Contemporary Legal Responses to Technological, Economic, and Social Change; 111-146</dc:source>
	<dc:source>2548-1592</dc:source>
	<dc:source>2548-1584</dc:source>
	<dc:source>10.15294/jils.v11i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jils/article/view/31133/10180</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Ninik Zakiyah, Budi  Santoso, Muh. Afif Mahfud, Edmon Makarim, Try Hardyanthi (Author)</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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