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Opportunities and Challenge for the Application of Artificial Intelligence (AI) in Public Policy in Indonesia

World Conference on Governance and Social Sciences · Vol. 2 (2024) · pp. 32–37

DOI
10.31947/wcgss,vol2,44270
ISSN
3026-7218
Published
2024-12-30
Publisher
Faculty of Social and Political Sciences
Language
en
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Artificial intelligence (AI) in public policy refers to the use of AI technology to improve decision-making processes and governance. AI analyzes data that can make it easier for the government to see the current problems of Indonesian society to find effective solutions, so that the resulting policies are more evidence-based and accurate to the needs of the community. With the ability to process and analyze information quickly and accurately, AI can automate tasks so that government employees can focus on more complex and strategic issues. The type of basic research used in this study is qualitative research that aims to describe and reveal descriptive data as an approach to generally understanding the problems of AI in public policy in Indonesia. To obtain relevant, accurate and accountable data, the author uses data collection techniques, namely by using literature review techniques from various relevant sources. The results of the analysis show that the application of artificial intelligence (AI) in public policy in Indonesia has various opportunities to increase efficiency and effectiveness in decision-making. AI has the potential to help the government analyze big data, recognize patterns of community behavior, and provide more responsive services. However, it is not without challenges, including lack of algorithm transparency, bias in data, privacy issues, and limited human resource skills.

Keywords

Collaboration network of the authors

16 authors · 42 co-authorship links

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

  • Institut Ahmad Dahlan Probolinggo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sakaria To AnwarAffiliation unknown2
Arisnawawi ArisnawawiAffiliation unknown2
Muhammad SabiqAffiliation unknown1
Sawedi MuhammadAffiliation unknown1
Andi Rewo Batari WantiAffiliation unknown1
Saifuddin SaifuddinInstitut Ahmad Dahlan Probolinggo1
Ahmad MuhajirAffiliation unknown1
Adnan KasogiAffiliation unknown1
Sadriani IlyasAffiliation unknown1
Aldiani Fitriayu SamAffiliation unknown1
Indar ArifinAffiliation unknown1
Noor Gemilang SiradjaAffiliation unknown1
Andi M. RusliAffiliation 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.unhas.ac.id/index.php/wcgss/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Opportunities and Challenge for the Application of Artificial Intelligence (AI) in Public Policy in Indonesia</dc:title>
	<dc:creator xml:lang="en">Kamal, Anni Mujahida</dc:creator>
	<dc:creator xml:lang="en">Nawawi, Juanda</dc:creator>
	<dc:creator xml:lang="en"> Syamsu, Suhardiman</dc:creator>
	<dc:subject xml:lang="en">Opportunities</dc:subject>
	<dc:subject xml:lang="en">challenges</dc:subject>
	<dc:subject xml:lang="en">artificial intelligence (AI)</dc:subject>
	<dc:subject xml:lang="en">Public Policy</dc:subject>
	<dc:subject xml:lang="en">Indonesia</dc:subject>
	<dc:description xml:lang="en">Artificial intelligence (AI) in public policy refers to the use of AI technology to improve decision-making processes and governance. AI analyzes data that can make it easier for the government to see the current problems of Indonesian society to find effective solutions, so that the resulting policies are more evidence-based and accurate to the needs of the community. With the ability to process and analyze information quickly and accurately, AI can automate tasks so that government employees can focus on more complex and strategic issues. The type of basic research used in this study is qualitative research that aims to describe and reveal descriptive data as an approach to generally understanding the problems of AI in public policy in Indonesia. To obtain relevant, accurate and accountable data, the author uses data collection techniques, namely by using literature review techniques from various relevant sources. The results of the analysis show that the application of artificial intelligence (AI) in public policy in Indonesia has various opportunities to increase efficiency and effectiveness in decision-making. AI has the potential to help the government analyze big data, recognize patterns of community behavior, and provide more responsive services. However, it is not without challenges, including lack of algorithm transparency, bias in data, privacy issues, and limited human resource skills.</dc:description>
	<dc:publisher xml:lang="en">Faculty of Social and Political Sciences</dc:publisher>
	<dc:date>2024-12-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/wcgss/article/view/44270</dc:identifier>
	<dc:identifier>10.31947/wcgss,vol2,44270</dc:identifier>
	<dc:source xml:lang="en">World Conference on Governance and Social Sciences; Vol. 2 (2024); 32 - 37</dc:source>
	<dc:source>3026-7218</dc:source>
	<dc:source>10.31947/wcgss.v2i</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/wcgss/article/view/44270/12835</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 World Conference on Governance and Social Sciences</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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