Quiz 6 - Question 1

A research team in Kenya is developing an AI-driven drought prediction tool. The model uses decades of rainfall and temperature data to identify patterns and generate probabilistic forecasts of drought risk up to six months in advance. The team hopes this will help farmers plan planting seasons and manage scarce water resources more effectively. However, they know that drought impacts are complex, affecting not just crop yields but also migration patterns, household income, and even local conflict over resources. The team understands that AI forecasts are never 100% certain and that communities may interpret and respond to predictions differently. They hold consultations with farmers, local leaders, and NGOs to explore possible future scenarios, including both best- and worst-case outcomes of using the model, and to plan strategies for each.

In the context of responsible innovation, what is the primary purpose of anticipation in this project?