Singapore and Indonesia could work together on responsible AI, from joint research and skills training to pilot projects in healthcare, agriculture and finance. That is a proposal from retired Indonesian diplomat Simon Hutagalung, not an announced government partnership, but it comes with a practical question: how to share expertise without leaving Indonesia dependent on outside providers.
Watch Desk analysis
What happened
In an opinion article published by Eurasia Review on 10 October, Hutagalung argues that Singapore’s research and governance experience could complement Indonesia’s larger market and varied local needs. He proposes collaboration between government agencies, research organisations and companies, starting with selected pilot projects.
His suggested groundwork includes shared approaches to data, standards, accountability, bias detection and privacy, alongside joint testing and training. Hutagalung also stresses that AI applications would need to fit Indonesia’s languages, local conditions and affordability requirements. He identifies infrastructure gaps, different regulations and uneven technical capacity as obstacles, and argues that building Indonesian expertise should be part of the plan.
Why it matters
The proposal is more specific than a general call for regional cooperation: it names potential sectors, practical forms of collaboration and some of the hurdles that could stop pilots becoming lasting services. It also puts local capability at the centre. A project that works only while an outside partner supplies the expertise is a rather limited form of technology transfer.
Hutagalung further argues that Singapore and Indonesia could use practical cooperation to contribute to wider ASEAN guidance on responsible AI. That is an aspiration in his article, not evidence that either government has adopted the proposal.
Our read
This is a useful agenda for discussion, not a policy announcement. The strongest point is that pilots should be paired with training and local ownership from the outset, rather than treated as proof of success in themselves. Otherwise, the region risks importing systems that are costly to maintain and poorly matched to the people meant to use them.
What to watch
- Whether government agencies, research organisations or companies announce joint AI pilots.
- Whether any plans include Indonesian-led training and long-term technical capacity.
- How partners address data protection, cybersecurity and differences in national regulations.
- Whether practical projects lead to wider ASEAN guidance on responsible AI. Activity teaser: A former Indonesian diplomat has laid out a practical case for Singapore–Indonesia AI cooperation: start with selected projects in areas such as healthcare, agriculture and finance, while investing in local skills and responsible governance. It is a proposal, not a government agreement, and the hard part may be making pilots affordable and sustainable. Should regional AI partnerships prioritise quick deployments, or local expertise that takes longer to build?
Discussion spark: Should Singapore–Indonesia AI partnerships prioritise getting useful pilots running quickly, or invest first in local expertise and infrastructure even if that slows deployment?
Sources and evidence
- Source update (10 October 2026, 16:59 UTC)
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