Unis should play bigger role in reversing gender bias in computer programs

While the future was increasingly defined by developments in technology, women were dramatically under represented. Gender balance inequity was an old problem, but had emerged in a new context. A male bias had appeared in the development of facial recognition technology, which was better at recognising white men than black women. Heart attack apps have wrongly diagnosed women because of a false assumption their symptoms are similar to those of men. And technology used in the finance sector had given women a much lower credit rating than their husbands.