TY - JOUR
T1 - An Ambitious Artificial Intelligence Policy in a Decentralised Governance System
T2 - Evidence From Indonesia
AU - Wadipalapa, Rendy Pahrun
AU - Katharina, Riris
AU - Nainggolan, Poltak Partogi
AU - Aminah, Sitti
AU - Apriani, Tini
AU - Ma’rifah, Diana
AU - Anisah, Azmi Listya
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024
Y1 - 2024
N2 - This 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.
AB - This 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.
KW - artificial intelligence
KW - Decentralised governance
KW - Indonesia
KW - local government
UR - http://www.scopus.com/inward/record.url?scp=85182996138&partnerID=8YFLogxK
U2 - 10.1177/18681034231226393
DO - 10.1177/18681034231226393
M3 - Article
AN - SCOPUS:85182996138
SN - 1868-1034
JO - Journal of Current Southeast Asian Affairs
JF - Journal of Current Southeast Asian Affairs
ER -