AI and data science, a path to inclusive public health

The gender gap in artificial intelligence (AI) is a glaring issue. Globally, only 22 per cent of AI professionals are women. This imbalance has serious implications, particularly in fields, such as public health, where AI is increasingly being used to drive decisions. When the voices shaping the data are predominantly male, the algorithms they create are often unintentionally biased. These biases lead to policies and systems that fail to adequately consider the needs of half the population-women.