Blog Series: AI For Food Systems Research
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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.
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Generative AI’s environmental footprint poses difficult tradeoffs for agrifood systems in low- and middle-income countries
Costs and benefits of data centers.
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Asking the right questions: A stakeholder dialogue on generative AI in digital extension
Balancing new technology with local needs.
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AI and Remote Sensing for Agricultural Insights: From Satellite Imagery to Decision Support
How can advances in AI and remote sensing improve agricultural decision-making, particularly in contexts where timely, accurate data is difficult to obtain? This webinar explores the intersection of machine learning and satellite imagery, focusing on innovations that enhance monitoring, planning, and climate resilience in food systems. Ambica Paliwal will share insights on how remote sensing…
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Benchmarking LLMs for Agricultural Advisory: Insights from a Global Community of Practice
As large language models (LLMs) are increasingly applied in agricultural advisory services, there is growing recognition of the need for shared benchmarks to evaluate their performance, equity, and contextual relevance. In response, a global community of practice, supported by the Gates Foundation, has begun developing standards and tools to assess how well LLMs perform across…
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Launching the Ethical AI Methods Toolkit: Reflections from Research and Practice
What does it mean to design ethical AI for agricultural research and development—and how can researchers and practitioners begin to put principles into practice? Following our previous webinar on A Problem-Oriented Approach to AI Ethics in Food Systems, this event marks the launch of the Ethical AI Methods Toolkit: a practical resource developed to support…
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Grounding AI in practice: What extension gets wrong, what extension gets right, and what AI can learn
Exploring how emerging tools can help farmers.
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Making Sense of AI and Qualitative Research: Conversations on Meaning, Context, and Power
As artificial intelligence tools become more common in research workflows, qualitative researchers face both new opportunities and critical challenges. Can AI support interpretive and nuanced research? What risks might it introduce—and how can researchers remain attentive to nuance, positionality and power? This webinar explores the use of AI in qualitative research. Drawing on her experience…
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AI in qualitative research: Using large language models to code survey responses in native languages
Testing new tools that offer rapid analysis.
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From Principles to Practice: A Problem-Oriented Approach to AI Ethics in Food Systems
This webinar offers a practical introduction to AI ethics, with a focus on how ethical principles translate into real-world decisions. As AI tools are increasingly deployed in food systems research and innovation, questions around fairness, accountability, consent, and transparency are no longer abstract—they are critical design choices with tangible implications. Together, the speakers will explore…
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Organizational Journeys in Human-Centered AI: Lessons from Practice in the Development Sector
As AI tools become increasingly integrated into development programs, organizations are navigating both opportunities and tensions in applying human-centered principles to their design and use. This webinar explores how development organizations are adopting AI in practice—with a focus on internal processes, participatory methods, and ethical considerations. Joyce Wong of Digital Green will share insights from…
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The role of explainability in AI for agriculture: Making digital systems easier to understand for farmers
Centering user needs in precision livestock monitoring.
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Beyond the hype: Centering humans in CGIAR’s genAI research
Realizing the potential and minimizing the risks of a promising new technology.
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Generative AI for Food Systems: A Skills Workshop for Researchers
This opening webinar launches IFPRI’s new series, AI for Food Systems Research. The series explores how artificial intelligence (AI) is being integrated into food, agriculture, and development research, with a focus on building the skills and critical understanding needed to use these tools responsibly. As outlined in the recent blog post, AI—and more recently, the expanding…
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Trust the messenger? The role of AI transparency in policy research communication
Testing reader responses to chatbot- vs. human-written blog posts.
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Can we trust AI to generate agricultural extension advisories?
A chatbot experiment.
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How can artificial intelligence-powered chatbots help policymakers? A roadmap for Kenya
Integrating AI into the policy process.