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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Rethinking digital inclusion: User agency in agri-advisory design and delivery
Why accessibility and usability are not enough.
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Two forms of critical AI literacy and why they matter for farming communities
Contributing to app development requires an understanding of AI.
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Beyond the model: Evaluating AI agricultural advisory systems so they work in the field
Tailoring benchmarks for local reliability.
Upcoming Webinars
Past Recordings
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October 2, 2025, 9:30 – 10:30 amMaking Sense of AI and Qualitative Research: Conversations on Meaning, Context, and Power
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September 18, 2025, 9:30 – 10:30 amFrom Principles to Practice: A Problem-Oriented Approach to AI Ethics in Food Systems
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July 10, 2025, 11:00 – 12:00 pmOrganizational Journeys in Human-Centered AI: Lessons from Practice in the Development Sector
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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