Of course that estimates are useful. But when you use proxy data such as cars to infer demographic data and present these as the result of a census, you can see

Of course that estimates are useful. But when you use proxy data such as cars to infer demographic data and present these as the result of a census, you can see why it's problematic. You're basically using the number of pick up trucks to estimate the degree of education in the neighborhood, then you use that same number of pick up trucks to evaluate the wealthiness of that neighborhood, and then you draw a conclusion on the correlation between wealth and education, which is the very input that's hidden in your AI model. You may use census data to train a neural net to draw some conclusions, not to produce brand new census data.