Workshop: Centring Data in African AI скачать в хорошем качестве

Workshop: Centring Data in African AI

This workshop focuses on one of the most important pillars of Africa’s AI future: data. Through keynotes, lightning talks, and panel discussions, the session explores how Africa can build, govern, and leverage data responsibly to unlock meaningful AI solutions for the continent. Experts discuss themes such as data sovereignty, ethical data governance, cybersecurity, agriculture, health, language technologies, and community-driven data collection. The workshop also highlights the need for problem-driven and data-centric AI approaches tailored to Africa’s unique contexts. Agenda – Intro 00:02:12 – Team introduction 00:05:37 – Keynote presentation - Joan Kinyua 00:18:44 – Q&A 00:24:29 – Lightning Talks 00:24:55 – Talk 1: Blood, bytes and borders – Rethinking data sovereignty in AI-driven malaria diagnosis in Africa 00:32:40 – Talk 2: Using AI to secure critical information infrastructures against cyber attacks in Africa 00:38:15 – Talk 3: Combating plant pathogen spread across sub-Saharan Africa 00:45:47 – Talk 4: Data to delivery – Designing LLMs for maternal health impact in low-resource settings 01:29:56 – Lightning Talks Continued 01:30:20 – Talk 5: The data gap in African agriculture – Why global AI models fail arid & semi-arid farmers 01:40:09 – Keynote presentation: Girmaw Abebe Tadesse 02:22:39 – Talk 7: Tailoring data annotation pipelines for African languages 02:32:22 – Talk 8: Crowd wisdom in community sensing for datasets 02:41:00 – Talk 9: Centering African data in AI – Ethics, quality & innovation in local contexts 02:51:13 – Talk 10: Who owns African data? Cyber threats and digital sovereignty 02:57:16 – Panel Session: Centring Data in African AI 02:58:27 – The panelists: Vukosi Marivate, Felecia Webb, Albert Njoroge Kahira, Chris Emezue || Moderator: Jessica Ojo 03:00:00 – The Panel session: 03:46:59 – Q&A 04:04:57 – Wrap up #DeepLearningIndaba2025 #AfricanAI #DataForAfrica #AIResearch #DigitalSovereignty #AIEthics #MachineLearningAfrica #AIInnovation #TechInAfrica #Indaba202