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How AI can strengthen food systems and food security?

AI for Good5 August 2026Watch on YouTube

Part of series

Ep. 11 · Global Summit Aiforgood

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What you'll learn

  • AI can identify threats to food systems earlier, enabling governments and humanitarian organizations to respond faster to disruptions.
  • Local priorities, institutions and communities must be central to developing AI solutions for food security.
  • AI helps farmers, governments and aid organizations understand changing conditions in food production and supply chains, supporting faster decision-making.
  • Climate change, conflict and rising costs test food systems globally, and AI-powered early warning systems can enable more timely responses.

Frequently asked questions

How can AI help food systems function better?
AI can identify threats to food systems earlier and support policymakers in faster decision-making in agriculture, disaster response and food security. This helps governments and aid organizations identify changes in food production and supply chains sooner.
What factors are currently testing food systems?
Food systems are tested by climate change, conflict, rising costs and disruptions in agricultural production and supply chains. Early warning systems can help identify these threats sooner.
Why is it important to involve local communities in AI solutions?
AI solutions for food security must be grounded in local priorities, institutions and communities to be effective and relevant. This ensures technology aligns with actual needs on the ground.
Which organizations are working on AI applications for food security?
Experts from the World Meteorological Organisation (WMO), Microsoft AI for Good Lab and the World Food Programme (WFP) are exploring how AI can strengthen food systems and food security, alongside research institutions and policymakers.

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Description from the channel

Can AI help identify threats to food systems earlier and support action before disruptions deepen? Food systems are being tested by climate change, conflict, rising costs and disruptions across agricultural production and supply chains. This session explores how AI can help farmers, governments and humanitarian organisations understand changing conditions earlier and support more timely decision-making in agriculture, disaster response and food security. Véronique Bouchet, Senior Director for Science, Services and Capacity Development at the World Meteorological Organisation (WMO); Philip Thigo, Special Envoy on Technology for Kenya; Kevin White, Senior Director, AI for Good Lab at Microsoft; Girmaw Abebe Tadesse, Principal Scientist and Manager, AI for Good Lab at Microsoft; and Kyriacos Koupparis, Head of Unit, Forecasting and Early Warning at the World Food Programme (WFP), bring perspectives from AI research, humanitarian response, government and agriculture. The conversation examines where AI is already helping, where it could contribute in the future, and what is needed to ensure AI solutions for food systems are grounded in local priorities, institutions and communities. Recorded live at the AI for Good Global Summit 2026 at Palexpo in Geneva, Switzerland. AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges. AI for Good is organized by ITU in partnership with over 50 UN partners and co-convened with the Government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to solve global challenges using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.