{"id":113783,"date":"2025-10-24T15:37:21","date_gmt":"2025-10-24T15:37:21","guid":{"rendered":"https:\/\/www.africa-press.net\/rwanda\/all-news\/inside-the-battle-against-bias-in-african-ai"},"modified":"2025-10-24T16:01:32","modified_gmt":"2025-10-24T16:01:32","slug":"inside-the-battle-against-bias-in-african-ai","status":"publish","type":"post","link":"https:\/\/www.africa-press.net\/rwanda\/policy\/inside-the-battle-against-bias-in-african-ai","title":{"rendered":"Inside the Battle Against Bias in African AI"},"content":{"rendered":"

Africa-Press – Rwanda. <\/strong><\/span>Artificial intelligence is transforming nearly every aspect of modern life. But as the technology becomes more powerful, so does the need to ensure it reflects everyone it touches. Across Africa, the call is growing louder for AI built not just for the continent, but by Africans.<\/p>\n

That vision came into focus on Wednesday, October 22, at Mobile World Congress Kigali 2025 during a panel \u201cEliminating Bias: AI for Africa, by Africa.\u201d The discussion gathered technologists, researchers, and policymakers united by a common goal: shaping a digital future that reflects Africa\u2019s cultural, linguistic, and social diversity, instead of flattening it.<\/p>\n

The GSMA, in collaboration with major telecom companies and research institutions including Airtel, MTN, Ethio Telecom, Lelapa AI, and the Masakhane African Languages Hub, announced a continent-wide initiative to develop African large language models (LLMs). The project aims to close the gap between the world\u2019s most spoken languages and those digitally represented in AI systems.<\/p>\n

Globally, most LLMs\u2014like those that power chatbots and translation tools\u2014are built around a few dominant languages. This leaves billions of people behind, especially in Africa, where more than 2,000 languages are spoken but only a handful are digitally supported.<\/p>\n

The result is a widening digital divide that risks excluding local knowledge and perspectives from the future of technology.<\/p>\n

Rwanda\u2019s digital identity push<\/b><\/p>\n

Representing Rwanda\u2019s innovation front, Josephine Mukesha, Director General of the National Identification Agency (NIDA), shared how the country\u2019s upcoming digital ID system could help tackle bias from the ground up.<\/p>\n

The new system will issue digital identities from birth, using biometric data such as facial features, iris scans, and fingerprints to ensure accuracy and inclusion. It\u2019s designed to serve not only Rwandan citizens but also foreign residents, refugees, and stateless individuals\u2014groups often excluded from traditional identity systems.<\/p>\n

\u201cAI for Africa means building solutions by African developers and institutions, using data that truly represents our people,\u201d Mukesha said. \u201cWe must ensure that everyone can transact and appear online, because inclusion starts with visibility.\u201d<\/p>\n

She added that Rwanda\u2019s approach emphasizes data sovereignty\u2014meaning Africans must own and protect their data\u2014and cultural relevance, so that technology reflects local values. By collecting data responsibly and ensuring equal access to digital services, Rwanda hopes to set a standard for inclusive AI across the continent.<\/p>\n

The heart of the problem: Data<\/b><\/p>\n

For Nikos Angelopoulos, Chief Information Officer at MTN Group, the biggest challenge isn\u2019t the algorithms themselves but what feeds them.<\/p>\n

\u201cThe most fundamental issue is the dataset,\u201d he said. \u201cWhere is the data coming from, and what does it represent? In some parts of the world, data sources are abundant. In Africa, they are still scarce. That imbalance creates the bias we see.\u201d<\/p>\n

Angelopoulos pointed out that without diverse, representative datasets, even the most advanced AI systems risk misunderstanding or ignoring African users.<\/p>\n

Pelonomi Moiloa, founder and CEO of Lelapa AI, challenged the assumption that more data and more computing power automatically will lead to better AI. Her company focuses on developing tools for \u201clow-resource\u201d languages\u2014those with limited online presence.<\/p>\n

\u201cMost of how AI is built comes from a Western framing,\u201d Moiloa said. \u201cIt assumes you have endless data and huge computing resources. But what if we made models smarter instead of just bigger? What if we taught them to learn languages with less?\u201d<\/p>\n

For Lelapa AI, the goal is not only to represent African languages but to rethink how intelligence itself is defined and trained.<\/p>\n

Bias in everyday life<\/b><\/p>\n

Egbo Deborah Ijeoma, a public health advocate from Nigeria, offered a grounded view of how bias plays out in real life. She recalled a time when a health brand launched a free app for tracking blood pressure during a community event.<\/p>\n

\u201cThe app was great, but only the women with newer smartphones could use it,\u201d she said. \u201cThe low-income earners who needed it most didn\u2019t have the devices or internet access. That\u2019s bias too\u2014bias in context.\u201d<\/p>\n

To bridge that gap, Ijeoma helped build a WhatsApp-based chatbot that educates women about reproductive health in English and Hausa. The platform works on basic phones, ensuring that inclusion isn\u2019t just an idea but a practice.<\/p>\n

As African nations continue to invest in technology, many are also developing ethical frameworks to guide it. Rwanda, for instance, is crafting an AI ethics policy rooted in fairness, privacy, transparency, and human oversight. The hope is that such frameworks will make Africa not just a consumer of global technologies, but a contributor to the values shaping them.<\/p>\n

A GSMA study outlined four key areas Africa must strengthen for inclusive AI growth: data, compute, talent, and policy. Through continent-wide collaboration, GSMA and its partners will form working groups to advance these priorities, share outcomes at upcoming events, and ensure accountability.<\/p>\n

At its heart, \u201cAI for Africa, by Africa\u201d isn\u2019t just about better software. It\u2019s about ownership, representation, and trust\u2014ensuring that the intelligence shaping the digital age understands the people it serves.<\/p>\n

Because in the end, as one panelist noted, \u201ca biased system doesn\u2019t just misread data. It misreads humanity.\u201d<\/p>\n

For More News And Analysis About Rwanda<\/span> Follow Africa-Press<\/span><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Africa-Press – Rwanda. Artificial intelligence is transforming nearly every aspect of modern life. But as the technology becomes more powerful, so does the need to ensure it reflects everyone it touches. Across Africa, the call is growing louder for AI built not just for the continent, but by Africans. That vision came into focus on […]<\/p>\n","protected":false},"author":84,"featured_media":113782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[24,30,15,14],"tags":[4007,8486,3978,758,8483],"class_list":["post-113783","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-all-news","category-community","category-economy","category-policy","tag-gsma","tag-inclusive-ai","tag-mwc-kigali","tag-rwanda","tag-tech-policy"],"yoast_head":"\nInside the Battle Against Bias in African AI - Rwanda<\/title>\n<meta name=\"description\" content=\"Artificial intelligence is transforming nearly every aspect of modern life. 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