Fair enough. But academia, the big names in tech, the USA, the EU, and I disagree.

Exactly, but what is more important? Revenue or fairness? It’s about finding the right balance. Each project/model has its own level of compromise.

It’s complicated, but yes. We don’t use the sensitive traits in training as a normal feature - we use them to correct bias in the model along that dimension. It can be done in training or after training, but it is a necessary check in any human-influencing AI model.

Ranking by that is fine, but there should be equity constraints in place. Ads are one thing, but think about applications for jobs or credit cards. Amazon and Apple already had huge issues there because they chose to ignore sensitive traits instead of actively enforcing equity.