Why Artificial Intelligence Research Needs More Women

It’s likely no surprise that women are still massively underrepresented in the tech industry today. Even with a push over the last few years for more women to pursue careers in STEM—science, technology, engineering, and mathematics—they still make up a tiny percentage of those working in the field. Data shows that of those doing STEM-focused research around the world, less than 30% are women.
Unfortunately, when you narrow the focus down to women working specifically in smart tech and machine learning, the numbers get even smaller. You might wonder why it matters who is behind the data and code creation when it’s essentially a non-gendered machine or robot doing all of the processing, but it does. Machines aren’t inherently biased, but humans are, and when humans are teaching machines how to learn and what to do, our biases naturally become part of the code.
Our computers, phones, and any other smart devices that we use today utilize technology that mimics our thought and decision-making processes. So if the majority of people working with smart tech such as artificial intelligence are men, then anything that utilizes AI will skew towards the male perspective.
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