The project asks: “Who should own the data?” It envisions rural communities in the Global South as sustainable data enterprises and tackles the socio-economic challenges of data sovereignty to support scalable AI and long-term preservation. Participants engage in interactive sessions to design sustainable community enterprises grounded in ethical AI frameworks and data ownership models that drive economic growth. The project empowers communities to pursue sustainable AI development with tangible economic benefits.
Image: workshop image
Workshop
Why African communities should be training, and machines learning, or maybe not?
Communities as data enterprises—towards enriching datasets, sustainable preservation and economic empowerment.
Ndapewa Onyothi (NA), Chris Emezue (NG), Kasia Chmielinski (US), Sanjana Paul (US), Olanrewaju Samuel (NG), Camille Minns (US)
Language //
EN
Ticket //
ONE DAY PASS, FESTIVALPASS, FESTIVALPASS+
Max. Participants //
40
Info //
Registration required / Registrierung notwendig
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Photo: Onyothi
Wilhelmina Ndapewa Onyothi Nekoto
Ndapewa Onyothi is an experienced data expert, software engineer, and researcher in NLP and applied computer vision. A conservationist at heart and former rugby player, she is committed to co-engineering Indigenous AI-inspired conservation technology to tackle poaching challenges and enable societal use. She is a pioneering figure in African NLP. Her curiosity is inspired by the African night sky, history, culture, and biodiversity. She draws inspiration from tourism, wildlife, and jazz.