Across African contexts, development and technology projects are often driven by external actors with little grounding in local priorities. Solutions frequently arrive pre-packaged—built around assumed problems, rather than those identified by communities themselves. This is particularly evident in AI deployments in agriculture, education, and public health, where tools may miss the mark, or worse, exacerbate inequities.
This webinar serves to explore Stage 1 of AI Development which is fundamentally a participatory and grounded approach which is crucial for centering gender equity, given that women often carry the brunt of labor in agriculture and caregiving, yet remain underrepresented in AI design and governance.
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