Data Foundations for AI
Making AI workfor people
A global effort delivered by
Global Partnership for Sustainable Development Data Open Data Institute
Nairobi West Prison Clinic, Kenya / Credit Elphas Ngugi

WHAT WE DO

Helping build the data foundations for trustworthy and effective AI.

AI has become part of everyday life globally. But public agencies are lagging behind in using AI to benefit citizens. Reliable AI in public services needs high-quality data that can be trusted, infrastructure that keeps it usable and shareable, and institutions with the skills and mandate to run both. 

AI is only as good as the data it runs on. In the public sector, data is often not ready for the job being asked of it.

Data Foundations for AI helps governments build and deploy trustworthy and effective AI to improve public services and address critical development challenges, whether that means people using AI directly to navigate a service, or a government using AI to inform decisions across the services it delivers.

THE DATA FOUNDATIONS

By data foundations, we mean the institutional, technical and governance conditions that enable data to be managed, shared and used effectively.

This includes how data is collected, governed, documented and shared; the people, institutions, and rules that shape it; and the emerging data infrastructure needed for AI, such as metadata, AI-ready data formats, and benchmarks.

Our approach works across three connected areas to help build the data foundations needed for AI to deliver better public services and improve people's lives.

Two participants working through documents at a workshop Policy
Strengthening data governance and policies for AI
Improving governance across the whole data ecosystem for better management and use of data enables AI-driven innovation built on trusted and representative data that delivers public value.
How we do this:
  • National diagnostics and cross-government coordination
  • Data policy and governance reform
  • Global policy observatory and trends analysis
An analyst reading a satellite composite on screen Infrastructure
Building public data infrastructure for AI
Technical evaluations and assistance supports governments to develop robust data frameworks, standards, tools, and infrastructure for AI-readiness.
How we do this:
  • Localised AI-ready data frameworks
  • Metadata, documentation and provenance
  • Technical advisory and reusable tools
A training room of participants working at computers Skills
Establishing lasting institutional capability
Trainings, fellowships, and peer networks across governments and institutions embeds the skills and knowledge within national data systems to turn data into insights and guide AI use.
How we do this:
  • Bespoke online and in-person training programmes
  • Peer learning, including South-South cooperation
  • Training-of-trainers for scale and lasting impact

LATEST NEWS & UPDATES

LATEST NEWS & UPDATES —

Be part of what we're building.
Building the data foundations for AI requires collaboration, partnership, and investment. This endeavour will only be possible by working together. Whether you’re in government and want to work with us; you’re interested in investing or funding the project; or you’d like to discuss technical or training collaborations, we want to hear from you.
Get in touch
Nairobi, Kenya / Credit Elphas Ngugi

ABOUT THE PARTNERS

Data Foundations for AI is a global effort delivered by the Global Partnership for Sustainable Development Data and the Open Data Institute. It is hosted by the United Nations Foundation, reflecting its long-standing support of the Global Partnership and its commitment to this new effort with the Open Data Institute.

The Global Partnership works through a network of more than 700 partners across low- and middle-income countries, getting governance arrangements agreed inside governments, brokering data sharing between departments and with the private sector, and putting citizens into decisions about data held about them. 

The Open Data Institute works with governments, businesses and civil society to strengthen data infrastructure and help build the technical foundations that make data for AI work. It is headquartered in London with an international reach.


Working together, this effort can bridge a gap that no single organization can address alone: connecting deep technical solutions with the institutions, incentives, relationships and political realities that determine whether they are adopted and sustained.

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