This editorial discusses a UN Women warning that artificial intelligence systems are reinforcing gender bias, stereotypes, and inequality, citing an analysis of 133 generative AI systems in which 44% showed clear gender bias and 26% showed combined gender and racial bias. It notes that large language models routinely associate women with domestic roles and men with careers and leadership, reflecting biases in the historical data used to train them. The piece calls for greater investment in women’s AI skills and leadership representation to help correct these embedded biases.
