AI for social good: How young minds can shape the next decade

The phrase AI for social good sounds reassuring. It suggests intention. Responsibility. Progress. But it has also become increasingly vague.

For decades, social good meant addressing visible deficits. Vaccinations. Poverty. Literacy. Access to basic services. These challenges remain urgent and unresolved. At the same time, a different category of problems has emerged. Media bias. Information warfare. Algorithmic manipulation. Polarisation. Erosion of trust.