"The lack of gender diversity within AI teams is leading to a distorted perception of women. Search results within some of the leading AI and LLM platforms showed that, while male names were more likely to be linked to “business”, “executive”, “salary”, and “career”, women were frequently associated with words like “home”, “family” and “children”.

The problem stems from a lack of representation within the teams responsible for building these platforms, with women currently representing just one in five employees in technical roles within major AI companies.

This panel will explore how gender bias remains a key issue in the building, designing and communicating of AI platforms, the consequences of biased inputs, what it takes to build AI that truly serves everyone, and why fixing AI's gender bias isn't just ethical - it's good for business."