Building off your last point, with AI models, bias can come in ways you might not expect. For example, I once saw a model that was trained with diversity in mind, but then only ever output Asian people with a high bias towards women. It seems to me like diversity is something that is difficult to train into a model since it’d be really difficult not to overfit it on a specific demographic.

It might be interesting to see if a random input into the model could be used to increase the diversity of the model outputs. This doesn’t really help with resume screening tools though (which are probably classifiers), only really generative models.