[FlyingLawnmower]

I like the sentiment, but unfortunately predefining a set of categories doesn't prevent the issues. Even without access to a specific attribute like "wealth" or "race", the learning algorithms used here can still be used to target poor people, minorities, etc. by leveraging correlations within the dataset. Without these features, the bias just gets dispersed through other correlated variables, and makes it harder to detect that an algorithm is disproportionately targeting poor people.

Additionally, even a modest list of attributes can be sufficient to uniquely identify someone.

I think limiting collection is a good thing in general, but to meet your stated goals, we unfortunately have to do more.