From Hype to Impact: Measuring AI in LMICs

AI-based solutions are developing and evolving rapidly, more rapidly than traditional impact measurement can keep up with. We need practical, robust ways to measure its real-world impact—now. This session will explore how to measure the impact of AI on ecosystems, intermediaries and end users. We’ll tackle key questions like how do we evaluate impact when tools are constantly changing? And how can we spot risks, like rising inequality, before harm occurs?

This session will bring together diverse perspectives to share what’s working, surface gaps, and highlight emerging good practices in AI impact measurement. Participants will also be invited to contribute tools, examples and ideas to a growing pool of resources for better AI impact measurement.