DPGA Blog

Insights, stories, and updates on digital public goods and the open-source ecosystem from the Digital Public Goods Alliance.

Navigating Alignment in AI Systems as DPGs

June 23, 2026

Navigating Alignment in AI Systems as DPGs

Navigating Alignment in AI Systems as DPGsDuring this year’s UN Open Source Week in New York, many discussions will address AI as both a significant opportunity and a challenge for digital public goods (DPGs) and the wider open-source ecosystem. Simultaneously, the debate of the characteristics of AI systems as DPGs continues, transcending the DPG Standard while rooted in OSI’s definition of open-source AI. The G7 also recently published its vision on openness in AI systems, including a description of elements that determine the different levels of openness. The fact is that today there's no global consensus on what openness in AI systems actually means.At the DPGA Secretariat, we are focused on operationalising the commitments of the Global Digital Compact (GDC) to “develop, disseminate and maintain, through multi-stakeholder cooperation, [...] open data, [and] open artificial intelligence models” to help achieve the SDGs by 2030. However, translating these high-level ambitions into operational practices is part of a complex implementation process. Welcoming this ongoing debate as a vital step forward, we turn our attention to the new report commissioned by the DPGA member, the Asian Development Bank: “AI Systems as Digital Public Goods: Evidence and Recommendations from a Multi-Stakeholder Assessment”. The report was produced by the United Nations University Macau in partnership with the UN Office for Digital and Emerging Technologies (UN ODET), and arrives at a critical time. It provides valuable input into our ongoing standard-setting process as we review how the open data clause of the DPG Standard applies to AI systems one year after its last update. Strategic Alignment with the DPG Standard and the DPGA Secretariat’s WorkWhen the DPGA Secretariat updated the DPG Standard for AI systems in 2025—following extensive consultations within our AI Community of Practice co-hosted with UNICEF—we deliberately set a high, aspirational bar. We wanted to move the conversation away from treating AI as an isolated technology, toward a holistic view of AI as a socio-technical system.The now-published “AI Systems as Digital Public Goods” report organises its recommendations around the SAFE mnemonic — Standard, Accountability, Finance, Equity — and is candid that several of its recommendations fall beyond the DPGA Secretariat's current mandate. These are still valuable precisely because they are ecosystem-level responsibilities, shared across multilateral development banks, donors, governments, and standard-setters alike. Here is how those recommendations map against the DPG Standard as it stands today, and where we either already meet the suggested requirements or see things differently.