MIME: Minority Inclusion for Majority Group Enhancement of AI Performance. (arXiv:2209.00746v1 [cs.LG])

Several papers have rightly included minority groups in artificial
intelligence (AI) training data to improve test inference for minority groups
and/or society-at-large. A society-at-large consists of both minority and
majority stakeholders. A common misconception is that minority inclusion does
not increase performance for majority groups alone. In this paper, we make the
surprising finding that including minority samples can improve test error for
the majority group. In other words, minority group inclusion leads to majority
group enhancements (MIME) in performance. …

ai performance arxiv inclusion performance