India, Feb. 18 -- 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.

First-world and third-world problems have never been further apart in form. Yet they coexist in the same global system, often amplifying one another. This is where Artificial Intelligence (AI) changes the equation.

AI does not distinguish between these categories. ...