AI in development

Emerging technologies like Artificial Intelligence (AI) and Machine Learning are evolving rapidly, offering powerful tools for accelerating social good. But their use also raises serious concerns: risks to privacy, unequal access, opaque decision-making, and the potential to reinforce existing inequalities.

AI systems are only as inclusive, fair, and effective as the data and governance frameworks behind them. When data is incomplete, biased, or inaccessible, these technologies can harm more than help. Ensuring AI works for sustainable development means embedding transparency, accountability, and equity into every stage—from design to deployment.

The Global Partnership is working to broaden understanding, build capacity, and create shared spaces for learning. Expanding this work across our network, we are bringing together partners to identify shared priorities, surface local innovation, and tackle barriers to responsible AI use in development.

How we get there

AI is only as good as the data that drives it

Digital technologies’ ability to help drive equitable, sustained progress depends on the quality of the data it uses and the governance frameworks that shape its use. Addressing the challenges and barriers to the collection and use of quality data, and developing governance skills and frameworks is key to unlocking its potential for social good.

Structural barriers limit the use of AI in development

Technical capacities, regulatory constraints, and access to privately-held data, are some of the key barriers holding our partners back from being able to use AI to achieve development goals. These barriers disproportionately affect low- and middle-income countries, calling for tailored capacity building, shared learning, and advocacy efforts.

Knowledge gaps slow progress on locally relevant, ethical AI

While AI is an increasingly important tool for development actors at the local level, there is a lack of information on what the applications are and how to embed accountability or participation into them. By connecting actors across sectors and borders, the Global Partnership is helping partners share practices, expand understanding, and effectively implement AI.