What Ancestral Intelligence Can Teach Us About AI | Nanjira Sambuli | TED
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What Ancestral Intelligence Can Teach Us About AI | Nanjira Sambuli | TED

TED 04.03.2026 1 435 просмотров 100 лайков

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There's a common African proverb: "When elephants fight, it's the grass that suffers." Policy researcher Nanjira Sambuli says we must apply this thinking to today's AI evolution, asking: When tech giants battle for dominance, who gets trampled in the process? She introduces a new ethical compass for AI, showing how people across the continent are charting a different path for the future of tech. (Recorded at TED2025 on April 9, 2025) Join us in person at a TED conference: https://tedtalks.social/events Become a TED Member to support our mission: https://ted.com/membership Subscribe to a TED newsletter: https://ted.com/newsletters Follow TED! X: https://www.twitter.com/TEDTalks Instagram: https://www.instagram.com/ted Facebook: https://facebook.com/TED LinkedIn: https://www.linkedin.com/company/ted-conferences TikTok: https://www.tiktok.com/@tedtoks The TED Talks channel features talks, performances and original series from the world's leading thinkers and doers. Subscribe to our channel for videos on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Visit https://TED.com to get our entire library of TED Talks, transcripts, translations, personalized talk recommendations and more. Watch more: https://go.ted.com/nanjirasambuli https://youtu.be/KW0kDxU7LEg TED's videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International) and in accordance with our TED Talks Usage Policy: https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy. For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at https://media-requests.ted.com #TED #TEDTalks #AI

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Segment 1 (00:00 - 05:00)

What can the African savannah teach us about AI? Take this journey with me. Across Africa, proverbs are a cornerstone of the oral tradition through which indigenous knowledge and wisdom has been passed down from generation to generation. The Yoruba people of Nigeria say that a proverb is the horse that can carry one swiftly to the discovery of ideas. One of my favorite proverbs says, "When elephants fight, it's the grass that suffers. " And it has guided me in making sense of much in the world today, especially with all the developments in AI. The elephants can symbolize great powers, be they nation states, corporations, oligarchies, while the grass comprises people, geographies, and ecologies considered resources to exploit wastelands or charity cases. Great power competition, as we're living through today, emphasizes the power of the metaphorical elephants in their quest for dominance over resources, ideas, and innovations. In the case of Africa, not only are we caught in the middle, but we comprise a key battleground over which elephants are fighting over natural and human resources to power the intelligent age. Meanwhile, our perspectives and ambitions tend to be drowned out by the den of the elephants. But what can we discover when we look past the elephants fighting and zoom in on the grass? Well, for one, we can learn a simple yet profound concept. I am because you are. This sums up a set of value systems that emerged among the Bantau people of Africa and is known as Utu in Eastern Africa and Ubuntu in Southern Africa. Utu and Ubuntu instill in us a profound appreciation of humanity as a quality we owe one another and is not just about the relationship between humans. Ubuntu is also about our relationship with nature and the spiritual or cosmic. Ubuntu reminds us we ought to be developing technologies like AI for the benefit of all of humanity and our ecology. Across Africa, we have exciting examples of embracing the wisdom of Ubuntu to inform data governance, AI product design and community building. I call it Ubuntk. AI development today treats data as if it's an abundant natural resource. And we hear this in sayings like data is the new oil. But already the limits of this paradigm are being realized as researchers have been sounding the alarm that highquality data to train AI models is drying up. Through Ubuntu, we conceptualize data differently and we appreciate that it represents lives, cultures, and communities. So that data governance for us is about the meaningful participation, informed consent, self-determination, and community ownership of data sets from which language, nature-based knowledge, and indigenous wisdom are derived. Thank you. And this has inspired a concept like data justice in our African policy frameworks. Data justice matters because it means that women rural women in Africa for example who have possess who possess unique knowledge about agriculture, food production, medicine and environmental protection are represented and visible in data systems and agreech solutions. Then when we've been told ours are low resource languages, we're resourcing our languages. Conventional AI wisdom demands large language models. But African practitioners are making do with little language models. See, driven by efficiency as a core value and inspired by our relation to nature, initiatives like Leapa AI have developed lightweight African language models that are serving our communities without requiring extensive resources. Their Inkuba small language model has been inspired by the Dong Beetle, which can roll up to 250 times its body weight. It's small but mighty. Incuba is trained on 0. 4 billion parameters and outperforms larger models in sentiment analysis and displays remarkable consistency across multiple languages. We're also building collaborative AI communities. We have Masahane all building together across over 30 African countries to strengthen natural language processing in our research. And this grassroots organizing approach has set

Segment 2 (05:00 - 07:00)

out to demonstrate that low resourcess of languages is not a data problem but a societal one best solved through participation. In fact, Masahani have developed a non-traditional authorship model that acknowledges and includes all contributors in published papers. Be it that you contributed data, lived experience, coded software or coordinated research participation. And this way they've been able to publish translation results for over 38 African languages. These examples of Ubunt are our way of charting an alternative path to developing and deploying AI solutions in Africa by Africa and beneficial for Africa. Ubunt matters for a number of reasons. For one, we are asserting agency to conceive and build AI futures beyond just the ambition of the metaphorical elephants and to contribute to a global commons. It also allows us to bring forward the indigenous wisdom of our ancestors so that Ubunt is artificial intelligence powered by ancestral intelligence. And we also get to remind the elephants, they may fight and will their might all they want, but they're also bound to suffer if they trample upon the grass to the point of irreparable damage or extinction. But when their power is exercised in relation to others, it makes them ecosystem engineers and redirects their energy towards helping sustain a healthy and beneficial environment for everyone. And we see this in the savannah. When African elephants leverage their power to trample upon dense shrubs and acasia trees, they make room for smaller species to coexist. When they disperse seeds as they trek across the land, they help generate new growth and maintain the biodiversity of the savannah ecosystem. So in relationality, in coexistence, the power of the elephants is majestic and it's a life force for themselves, other wildlife and the savannah ecosystem. I believe if we can reimagine humanity beyond just the ambition of the metaphorical elephants, we can realize a world that benefits everyone. So I implore all of you, take heed of the grass beneath your feet. Our collective future depends on it. Asanti

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