分权治理体系中雄心勃勃的人工智能政策:印度尼西亚的证据

R. Wadipalapa, Riris Katharina, Poltak Partogi Nainggolan, Sitti Aminah, Tini Apriani, Diana Ma’rifah, Azmi Listya Anisah
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引用次数: 0

摘要

本研究调查了印度尼西亚在分权治理结构背景下雄心勃勃的人工智能(AI)政策。通过对雅加达、中爪哇和东爪哇的深入案例研究,我们分析了基于人工智能的新兴政策应对措施及其在快速发展的技术环境中面临的挑战。通过对中央和地方政府官员进行的精英访谈以及文献研究,本研究从地方视角对中央政府利用有限资源实施雄心勃勃的计划提供了难得的见解。本文发现,中央政府和地方政府对人工智能的看法和愿景存在分歧,这使得以人工智能为基础的政策的制定和实施变得更加复杂。中央政府通过监管授权和集中决策方式发挥着主导作用,这可能会限制地方的自主权。这种权力不对称,再加上缺乏以人工智能为重点的具体法规,对地方政府独立设计和管理符合其独特国情的人工智能计划的能力构成了挑战。有趣的是,地方领导人非但没有对雄心勃勃的国家计划表现出抵触情绪,反而纷纷拥护人工智能政策,将其定位为在 2024 年大选前提高人气的创新工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Ambitious Artificial Intelligence Policy in a Decentralised Governance System: Evidence From Indonesia
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.
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