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东南亚的人工智能治理:东盟的前进道路。

Governing AI in Southeast Asia: ASEAN's way forward.

作者信息

Putra Bama Andika

机构信息

School of Sociology, Politics, and International Studies, University of Bristol, Bristol, United Kingdom.

Department of International Relations, Universitas Hasanuddin, Makassar, Indonesia.

出版信息

Front Artif Intell. 2024 Aug 30;7:1411838. doi: 10.3389/frai.2024.1411838. eCollection 2024.

Abstract

Despite the rapid development of AI, ASEAN has not been able to devise a regional governance framework to address relevant existing and future challenges. This is concerning, considering the potential of AI to accelerate GDP among ASEAN member states in the coming years. This qualitative inquiry discusses AI governance in Southeast Asia in the past 5 years and what regulatory policies ASEAN can explore to better modulate its use among its member states. It considers the unique political landscape of the region, defined by the adoption of unique norms such as non-interference and priority over dialog, commonly termed the ASEAN Way. The following measures are concluded as potential regional governance frameworks: (1) Elevation of the topic's importance in ASEAN's intra and inter-regional forums to formulate collective regional agreements on AI, (2) adoption of AI governance measures in the field of education, specifically, reskilling and upskilling strategies to respond to future transformation of the working landscape, and (3) establishment of an ASEAN working group to bridge knowledge gaps among member states, caused by the disparity of AI-readiness in the region.

摘要

尽管人工智能发展迅速,但东盟仍未能制定出一个区域治理框架来应对现有的及未来的相关挑战。考虑到人工智能在未来几年有加速东盟成员国国内生产总值增长的潜力,这令人担忧。这项定性研究探讨了过去五年东南亚地区的人工智能治理情况,以及东盟可以探索哪些监管政策来更好地在其成员国之间调节人工智能的使用。它考虑了该地区独特的政治格局,其特点是采用了诸如不干涉和对话优先等独特规范,通常被称为东盟方式。以下措施被总结为潜在的区域治理框架:(1)在东盟内部和区域间论坛上提高该议题的重要性,以制定关于人工智能的集体区域协议;(2)在教育领域采取人工智能治理措施,具体而言,即重新培训和提升技能战略,以应对未来工作格局的转变;(3)成立一个东盟工作组,以弥合该地区人工智能准备程度差异所导致的成员国之间的知识差距。

相似文献

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Governing AI in Southeast Asia: ASEAN's way forward.东南亚的人工智能治理:东盟的前进道路。
Front Artif Intell. 2024 Aug 30;7:1411838. doi: 10.3389/frai.2024.1411838. eCollection 2024.
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