Imported or generalized models often underperform—especially when they are trained on data that does not reflect local language, environment, or lived experience. For AI to be trustworthy, accuracy alone is not enough. In this webinar we dive into what inclusion and efficiency means ensuring the development or building of systems that don’t require technical expertise to interpret—ensuring that trust, oversight, and agency are accessible to all users. Whether a rural health worker, a student, or a community organizer, each person should be able to understand what a system is doing and why.
1PM GMT | 3PM SAST | 4PM EAT
Registration Link. TBC