AI For Food Systems Research

Addressing systemic disadvantages.

Costs and benefits of data centers.

Balancing new technology with local needs.

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 […]

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 […]

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 […]

With support from IFPRI, the workshop brought together diverse stakeholders to explore how generative AI can close extension gaps and enhance the reach and impact of agricultural advisory services in Liberia.