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Who we are

With research staff from more than 70 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

Kinya Kaibung’a

Kinya Kaibung’a is a Research Officer with the Development Strategies and Governance Unit, based in Nairobi, Kenya. She has a keen interest in leveraging machine learning, AI, and other cutting-edge technologies to boost climate resilience and food security in smart agriculture systems.

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What we do

Since 1975, IFPRI’s research has been informing policies and development programs to improve food security, nutrition, and livelihoods around the world.

Where we work

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Where we work

IFPRI currently has more than 480 employees working in over 70 countries with a wide range of local, national, and international partners.

AI Policy Considerations for Food, Land, and Water Systems

Co-organized by IFPRI and the CGIAR Program/Accelerator Digital Transformation

Hybrid Event at IFPRI-HQ

1201 Eye St NW

12th floor conference room

Washington, DC, United States

September 15, 2026

  • 9:30 – 11:00 am (America/New_York)
  • 3:30 – 5:00 pm (Europe/Amsterdam)
  • 7:00 – 8:30 pm (Asia/Kolkata)

Please type your questions into the chat box with name, affiliation, and country. The event video, presenter slides, and podcast will be available in the days following the event.

Amid rapid advances in artificial intelligence (AI), there is growing interest in using AI as a tool to advance food systems transformation. AI has significant potential to transform policy research in food, land, and water systems (FLWS) by enhancing accessibility, efficiency, and responsiveness in policy analysis, but only if tools are rigorously tested, made transparent, and appropriately integrated into research and decision-making processes.

This seminar brings together researchers, practitioners, and policymakers to examine how AI is being developed, financed, deployed, and governed across FLWS in low- and middle-income countries (LMICs), and the resulting implications for food policy research. Speakers will discuss current applications of AI, emerging trends, and political and economic forces shaping its use. Attendees will gain perspectives on governance, inclusion, and design, including how to ensure AI systems respond to real-world constraints and contribute to public value rather than reinforcing existing inequalities.

Attendees will come away with three key insights:

  • An understanding of the broad and growing landscape of AI innovation in FLWS
  • Insights into how AI can most effectively strengthen policy research
  • Practical reflections from leading experts on responsible and equitable AI in FLWS

Moderator Welcome Remarks

Landscape of AI Innovation in FLWS

Shaping the Enabling Environment

Testing Solutions (RIAPA Demo)

Responsible AI

Panel Discussion

Closing Remarks