top of page
Workshop
From Data to Action: Systems Thinking & AI Driving Green Transformation in Education and Agriculture
The Flow of Rural Data
-
A cooperative in Đồng Tháp built an AI platform to forecast agricultural prices.
At first, farmers completely trusted the AI, but when prices changed unexpectedly, the system lost credibility.
Discussion
-
How can the AI system learn from its mistakes?
Suggestion
-
When forecasts are wrong → trust declines → fewer people input data → AI becomes weaker.
-
Maintain an open feedback channel between users and developers.
-
Humans serve as the sensors of the system.
→ Describe one real-world feedback loop you have observed in your work.
bottom of page