Back

Who we are

With research staff from more than 60 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

Eliot Jones-Garcia

Eliot Jones-Garcia is a Senior Research Analyst with the Natural Resources and Resilience Unit based in Washington, DC. His research focuses on human-AI interaction, user-centered design, and the ethical and responsible development of AI. Eliot is currently finalizing a PhD on the digitalization of agricultural advisory services at Wageningen University & Research.

Back

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

Back

Where we work

IFPRI currently has more than 600 employees working in over 80 countries with a wide range of local, national, and international partners.

Farmer-Centric AI for Livestock Systems: Design, Explainability, and Responsible Innovation

Co-organized by IFPRI and CGIAR Program/accelerator Digital Transformation
Webinar Series – AI for Food Systems Research

March 26, 2026

  • 9:30 – 10:30 am (America/New_York)
  • 2:30 – 3:30 pm (Europe/Amsterdam)
  • 7:00 – 8:00 pm (Asia/Kolkata)

As AI tools begin to influence livestock production, health management, and advisory services, ensuring these technologies are farmer-centric, explainable, and context-appropriate is essential. This webinar brings together researchers working at the intersection of livestock systems, digital innovation, and responsible AI to explore how AI can be designed and deployed in ways that genuinely serve livestock keepers. 

We begin with Karen McGrath, whose work focuses on applying participatory and farmer-centred design approaches to digital and AI tools in livestock systems. She will share practical lessons on co-design with livestock farmers—how needs are identified, how tools are adapted for different production contexts, and what it means to meaningfully involve farmers in the design process. 

Following this, Mengisti Berihu will offer a deep dive into the role of explainability in livestock-oriented AI systems. Her presentation will examine why transparency matters for farmer trust and decision-making, and how explainable models can support safer, more effective livestock advisory and management tools. 

The session will be moderated by Ram Kiran Dhulipala (ILRI), who will reflect on these themes from the perspective of CGIAR’s Digital Transformation Initiative and his work advancing digital innovation across livestock and mixed farming systems. 

Together, the speakers will explore how to design AI systems that align with farmer realities, respect local knowledge, and enable responsible, trusted adoption in livestock systems. 

Speakers

  • Karen McGrath, Researcher, Agricultural Extension & Innovation, University College Dublin
  • Mengist Berihu, Researcher, Digital Innovation & AI, RPTU Kaiserslautern-Landau

Moderator

  • Ram Kiran Dhulipala, Digital Transformation Specialist, ILRI / CGIAR Digital Transformation Initiative