Blog and Webinar Series: AI For Food Systems Research
This is a special series from the IFPRI-led initiative AI For Food Systems Research focusing on artificial intelligence (AI) in research practice. Amid the growing use of AI in agricultural research, policy, and extension, this project brings together researchers and practitioners across CGIAR and its partners to explore how AI tools can be designed, applied, and governed responsibly in food systems research and innovation. The series is led by Eliot Jones-Garcia, IFPRI Senior Research Analyst, and co-curated by Jessica Leight, IFPRI Senior Research Fellow, and Jona Repishti, Assistant Director, Global Gender, Digital Green.
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Latest Blogs
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AI, copyright, and content licensing in digital agriculture
Addressing the problem of massive datasets.
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From principles to practice: Why ethical AI starts with data
Fostering fairness, transparency, accountability, and privacy.
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Beyond the algorithm: The need for farmer participation and data justice in digital agricultural technology
Addressing systemic disadvantages.
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How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women’s empowerment in Indian agriculture?
A key issue for AI in extension services.
Upcoming Webinars
Past Recordings
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June 4, 2026, 9:30 – 10:30 amAI Workflows for Food Systems Research: A Demonstration of AutoDiscovery with the Ai2 Asta Team
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May 14, 2026, 9:00 – 10:00 amWhen Data Is Everywhere: Digital Research Methods Transforming Food Systems Science
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May 4, 2026, 9:30 – 10:30 amLeveraging Automatic Speech Recognition and Farmer-Generated Data for Insight, Inclusion, and Impact
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April 9, 2026, 9:30 – 10:30 amBreaking the Silence: Deploying Automatic Speech Recognition for Agricultural Advisory
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March 26, 2026, 9:30 – 10:30 amFarmer-Centric AI for Livestock Systems: Design, Explainability, and Responsible Innovation
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March 12, 2026, 9:00 – 10:00 amLarge Language Models for Policy Makers: Exploring RIAPA-AI and PEPA-AI
CGIAR Blogs
July 29, 2026
In the AI era, agricultural research needs better questions, not more tools
By Eliot Jones-Garcia
May 27, 2026
AI won’t transform agricultural research on its own. Institutions must
By Eliot Jones-Garcia