AI Evidence Alliance for Social Impact

Innovation Networks

Born out of the AI for Development Funders’ Collaborative, the AI Evidence Alliance for Social Impact is the first phase of a broader collaboration among global funders focused on advancing AI evaluation. It represents a cross-donor effort, co-financed by IDRC, the UK’s Foreign, Commonwealth & Development Office (FCDO), Community Jameel, and Google.org.

These projects are unique in the AI4D space and have the overarching goal to build an evidence base to help shape AI investments and governance in lower- and middle-income countries (LMICs). They will generate and share actionable research on how AI affects development outcomes, with a focus on Africa and Asia. It will fund and support a portfolio of empirical evaluations to understand which AI tools work, which do not, and for whom they work.

A learning agenda will also be developed to map out who is doing what across the AI for development landscape, helping funders and implementers coordinate efforts and avoid duplication. With growing global attention on AI’s social impact, these new projects mark a significant step toward evidence-based policymaking and inclusive innovation.

Key Resources

An AI evaluation framework for the development sector | The Abdul Latif Jameel Poverty Action Lab

Applying AI to improve your program? Look out for its risks and unintended consequences | IDinsight

Evaluating AI for Social Impact in Africa and Asia

Subprojects

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