Governments across the world are integrating artificial intelligence into public services, often relying on existing Digital Public Infrastructure such as digital identity, payment systems, and data exchange platforms. Despite rapid adoption, many AI initiatives inherit structural challenges already present within these digital systems, including exclusion, weak accountability, limited transparency, and unequal access.

This session examines what AI practitioners can learn from Digital Public Infrastructure initiatives across Africa. Drawing on comparative research from Uganda, Kenya, and South Africa, it identifies governance, technical, and institutional factors that influence whether AI strengthens or weakens public trust.

Participants will gain practical recommendations for designing AI enabled public services that prioritise inclusion, transparency, interoperability, and human rights. The presentation provides a perspective from the Global South that complements existing discussions on AI governance and responsible innovation.