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AI for Sustainable Development in ASEAN: Advancing Safe, Trustworthy and Ethical AI for Climate Action

This report explores the transformative potential of AI in addressing climate challenges across Southeast Asia, emphasising the need for targeted interventions to harness AI effectively while mitigating emerging risks. The analysis covers nine countries in the region, focusing on pressing climate-related risks and key actions to consider across seven pillars: Data, Computing, Talent & Skills, Responsible Governance, Innovation, Scaling, and GEDSI (Gender Equality, Diversity, and Social Inclusion). Some key insights include: • Addressing climate data gaps is critical for combating climate risks. • AI’s expanding environmental footprint demands urgent attention. • Building an inclusive, AI-ready workforce is essential to accelerate progress in key climate sectors. • The gender gap in AI-driven climate tech funding in Southeast Asia needs to be addressed to foster innovation and scaling. Overall, this report presents numerous key findings which collectively aim to inform the critical actions required and identify key actors responsible to advance the development and deployment of safe, trustworthy, and ethical AI for climate action across Southeast Asia.

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Data Resource Preview - AI for Sustainable Development in ASEAN: Advancing Safe, Trustworthy and Ethical AI for Climate Action

Additional Info

Field Value
Document type Reports, journal articles, and research papers (including theses and dissertations)
Language of document
  • English
Topics
  • Climate change
  • SDG13 Climate Action
  • Technologies
Geographic area (spatial range)
  • Cambodia
  • Indonesia
  • Lao People's Democratic Republic
  • Malaysia
  • Myanmar
  • Philippines
  • Thailand
  • Timor-Leste
  • Viet Nam
Copyright Unclear copyright
Version / Edition 2025
License

No license given

Contact

This project was commissioned by the UK’s Foreign, Commonwealth and Development Office (FCDO), with support from Arup as the delivery partner. For any queries related to this study, the contact points from FCDO are Rizky Januar (Rizky.Januar@fcdo.gov.uk) and Jeremie Credo (Jeremie.Credo@fcdo.gov.uk). From the Arup side, contact Kristian Steele (Kristian.Steele@arup.com).

Author (individual) Kristian Steele, Arina Koul, Jill Leung, Ying Hong, Chester Ling, Arum Winarso, Caro Ames, Jonny Renton, and Yap Fung Tham.
Author (corporate) Arup
Publication date 2025
Pagination 178
Keywords climate action,Artificial intelligence,AI,Data,Southeast Asia,Sustainable Development
Date uploaded September 24, 2025, 07:59 (UTC)
Date modified October 2, 2025, 07:43 (UTC)