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Gebru also worked on Microsoft's Fairness, Accountability, Transparency, and Ethics in the AI team. During her time there, in 2017, Gebru spoke on the Fairness and Transparency conference, where MIT Technology Review interviewed her about the biases that exist in AI systems and how adding diversity in AI teams can fix that issue. In her interview with Jackie Snow, Snow asked Gebru the question of "How does the lack of diversity distort artificial intelligence and specifically computer vision?" and Gebru responds by pointing out that there are biases that exist in the software developers. Without diversity in the software developers, we will not be able to address the issues of algorithmic biases that people face in the world.

Gebru, who is one of the most prominent researchers in artificial intelligence, began questioning Amazon's facial recognition technology because of its biases against women of color. Gebru and other artificial intelligence researchers signed a letter that reflected the systematic issues that reside in Amazon's facial recognition software. A study that was conducted by MIT researchers shows that Amazon's facial recognition system had trouble identifying darker-skinned females than any other technology companies facial recognition software.

In 2017 Gebru was awarded the title "Alicorn of Artificial Intelligence." She was recognized for this award because of her research on using machine learning and deep learning to predict demographic data using Google Street View.