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[journal article]

dc.contributor.authorWadipalapa, Rendy Pahrunde
dc.contributor.authorKatharina, Ririsde
dc.contributor.authorNainggolan, Poltak Partogide
dc.contributor.authorAminah, Sittide
dc.contributor.authorApriani, Tinide
dc.contributor.authorMa'rifah, Dianade
dc.contributor.authorAnisah, Azmi Listyade
dc.date.accessioned2024-05-17T13:38:48Z
dc.date.available2024-05-17T13:38:48Z
dc.date.issued2024de
dc.identifier.issn1868-4882de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/94168
dc.description.abstractThis study investigates Indonesia’s ambitious artificial intelligence (AI) policy within the context of its decentralised governance structure. Through in-depth case studies in Jakarta, Central Java, and East Java, we analyse emerging AI-based policy responses and their challenges in a rapidly evolving technological landscape. Drawing from elite interviews conducted with central and local government officials and documentary research, this study offers rare insights into the local perspective on the struggle to accommodate the central government's ambitious plan with limited resources. This article finds that the divergence in the views and visions of AI between central and local governments has complicated the formulation and implementation of AI-based policies. Central authorities wield a dominant role, evident through regulatory mandates and a centralised decision-making approach that can potentially constrain local autonomy. This power asymmetry, coupled with the lack of specific AI-focused regulations, challenges local governments’ capacity to independently design and manage AI initiatives aligned with their unique contexts. Interestingly, instead of showing their resistance towards the ambitious national plan, local leaders have embraced AI policies, positioning them as innovative tools to enhance popularity in the lead-up to the 2024 general election.de
dc.languageende
dc.subject.ddcPolitikwissenschaftde
dc.subject.ddcPolitical scienceen
dc.subject.ddcÖffentliche Verwaltung, Militärwissenschaftde
dc.subject.ddcPublic administrationen
dc.subject.otherKommunale Regierung/Verwaltung; Verhältnis Zentralregierung - Regionde
dc.titleAn ambitious artificial intelligence policy in a decentralised governance system: Evidence from Indonesiade
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urlhttps://journals.sagepub.com/doi/pdf/10.1177/18681034231226393de
dc.source.journalJournal of Current Southeast Asian Affairs
dc.source.volume43de
dc.publisher.countryGBRde
dc.source.issue1de
dc.subject.classozspezielle Ressortpolitikde
dc.subject.classozSpecial areas of Departmental Policyen
dc.subject.classozVerwaltungswissenschaftde
dc.subject.classozAdministrative Scienceen
dc.subject.thesozIndonesiende
dc.subject.thesozIndonesiaen
dc.subject.thesozVerwaltungde
dc.subject.thesozadministrationen
dc.subject.thesozDezentralisationde
dc.subject.thesozdecentralizationen
dc.subject.thesozGovernancede
dc.subject.thesozgovernanceen
dc.subject.thesozTechnologiepolitikde
dc.subject.thesozpolicy on technologyen
dc.subject.thesozkünstliche Intelligenzde
dc.subject.thesozartificial intelligenceen
dc.subject.thesoztechnische Entwicklungde
dc.subject.thesoztechnical developmenten
dc.subject.thesozElectronic Governmentde
dc.subject.thesozelectronic governmenten
dc.subject.thesozSüdostasiende
dc.subject.thesozSoutheast Asiaen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGIGAde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo65-93de
internal.identifier.classoz10508
internal.identifier.classoz40200
internal.identifier.journal193
internal.identifier.document32
internal.identifier.ddc320
internal.identifier.ddc350
dc.identifier.doihttps://doi.org/10.1177/18681034231226393de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.dda.referencehttps://unapi.k10plus.de@@1885507968
ssoar.urn.registrationfalsede


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