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Consumer Protection against AI-Induced Skin Care Misdiagnosis in Skin Health Services in Indonesia

Law Research Review Quarterly · Vol. 12 No. 5 (2026) · hlm. 2280–2312

DOI
10.15294/lrrq.v12i5.47222
ISSN
2716-3415
Terbit
2026-05-19
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

The development of Artificial Intelligence (AI) in the beauty industry has led to the innovation of electronic-based skin diagnostic services, one of which is AI in Skin Health Services. While offering convenience and personalized product recommendations, the use of this technology poses the risk of misdiagnosis that could potentially harm consumers. This study addresses two main issues: how to protect consumers from misdiagnosis by AI in Skin Health Services in Indonesia and the legal liability of business actors for the resulting losses. The research method used is normative legal research with a statutory and conceptual approach, through an analysis of provisions in the Consumer Protection Law, the Electronic Information and Transactions Law, and regulations related to electronic systems. The results show that AI in Skin Health Services can be qualified as an electronic service and system, thus making business actors responsible based on the principle of presumption of liability with a tendency towards strict liability to ensure protection and legal certainty for consumers.

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  • State University of Semarang
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MUHAMMAD INDRA MUHTARState University of Semarang1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/snh/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Consumer Protection against AI-Induced Skin Care Misdiagnosis in Skin Health Services in Indonesia</dc:title>
	<dc:creator xml:lang="en">farhan, alif</dc:creator>
	<dc:creator xml:lang="en">Setiawan, Andry Setiawan</dc:creator>
	<dc:subject xml:lang="en">consumer protection</dc:subject>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en">legal liability</dc:subject>
	<dc:subject xml:lang="en">electronic systems</dc:subject>
	<dc:subject xml:lang="en">skin health services</dc:subject>
	<dc:description xml:lang="en">The development of Artificial Intelligence (AI) in the beauty industry has led to the innovation of electronic-based skin diagnostic services, one of which is AI in Skin Health Services. While offering convenience and personalized product recommendations, the use of this technology poses the risk of misdiagnosis that could potentially harm consumers. This study addresses two main issues: how to protect consumers from misdiagnosis by AI in Skin Health Services in Indonesia and the legal liability of business actors for the resulting losses. The research method used is normative legal research with a statutory and conceptual approach, through an analysis of provisions in the Consumer Protection Law, the Electronic Information and Transactions Law, and regulations related to electronic systems. The results show that AI in Skin Health Services can be qualified as an electronic service and system, thus making business actors responsible based on the principle of presumption of liability with a tendency towards strict liability to ensure protection and legal certainty for consumers.
 </dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-05-19</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/snh/article/view/47222</dc:identifier>
	<dc:identifier>10.15294/lrrq.v12i5.47222</dc:identifier>
	<dc:source xml:lang="en">Law Research Review Quarterly; Vol. 12 No. 5 (2026): Special Edition Part 1; 2280-2312</dc:source>
	<dc:source>2716-3415</dc:source>
	<dc:source>10.15294/lrrq.v12i5</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/snh/article/view/47222/9773</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Law Research Review Quarterly</dc:rights>
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