Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/181327
Title: Building an AI ecosystem in a small nation: lessons from Singapore’s journey to the forefront of AI
Authors: Khanal, Shaleen
Zhang, Hongzhou
Taeihagh, Araz
Keywords: Social Sciences
Issue Date: 2024
Source: Khanal, S., Zhang, H. & Taeihagh, A. (2024). Building an AI ecosystem in a small nation: lessons from Singapore’s journey to the forefront of AI. Humanities & Social Sciences Communications, 11(1), 866-. https://dx.doi.org/10.1057/s41599-024-03289-7
Project: AISG3-GV-2021-002 
MOE-MOET32022-0001 
Journal: Humanities & Social Sciences Communications 
Abstract: Artificial intelligence (AI) is arguably the most transformative technology of our time. While all nations would like to mobilize their resources to play an active role in AI development and utilization, only a few nations, such as the United States and China, have the resources and capacity to do so. If so, how can smaller or less resourceful countries navigate the technological terrain to emerge at the forefront of AI development? This research presents an in-depth analysis of Singapore’s journey in constructing a robust AI ecosystem amidst the prevailing global dominance of the United States and China. By examining the case of Singapore, we argue that by designing policies that address risks associated with AI development and implementation, smaller countries can create a vibrant AI ecosystem that encourages experimentation and early adoption of the technology. In addition, through Singapore’s case, we demonstrate the active role the government can play, not only as a policymaker but also as a steward to guide the rest of the economy towards the application of AI.
URI: https://hdl.handle.net/10356/181327
ISSN: 2662-9992
DOI: 10.1057/s41599-024-03289-7
Schools: S. Rajaratnam School of International Studies 
Rights: © 2024 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/ licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:RSIS Journal Articles

Files in This Item:
File Description SizeFormat 
s41599-024-03289-7.pdf2 MBAdobe PDFThumbnail
View/Open

Page view(s)

84
Updated on Mar 20, 2025

Download(s) 50

22
Updated on Mar 20, 2025

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.