Gender biases can sneak into tech and AI in various ways.

For example, when AI is trained on data that’s not neutral, if most of the examples it learns from show men in high-paying jobs, it might unfairly favour men in job recommendations, making it harder for women to get those opportunities. The result? Unfair treatment based on gender

This is important to talk about, especially when we know that artificial intelligence is penetrating every walk of life. According to research by Nesta (2019), there is a serious gender diversity crisis in AI research.
Only 13.83 percent of authors are women, and, in relative terms, the proportion of AI papers co-authored by at least one woman has not improved since the 1990s. A UN Women’s study shows that global analysis of 133 AI systems across industries found that 44.2 percent revealed a gender bias, which is simply alarming. All the stakeholders—governments, policymakers, and public and private organisations—need to come forward to create equitable platforms, making women not just technologists but business leaders in the AI and tech space.