Grounding AI in Practice: Learning from Extension
GenAI promises many benefits in agriculture. But is it living up to the hype? What can AI systems learn from decades of person-to-person agricultural extension? We talk about extension’s obvious (and less obvious) limitations, what it gets right, and what AI can learn. We conclude that grounding AI in real-world extension practices is the only way to build tools that farmers will use, and trust. The piece is part of the AI for and with Food Systems Research Initiative blog series. The initiative brings together researchers and practitioners across CGIAR and its partners to explore how AI can be designed, governed, and applied responsibly in food systems research and innovation.
