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Timnit Gebru
Timing Gebru currently a research scientist at Google in the ethical AI team. Prior to that she did a postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying any data mining project (see this New York Times article for an example of my work). She received her PhD from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. My thesis pertains to data mining large scale publicly available images to gain sociological insight, and working on computer vision problems that arise as a result. The Economist, The New York Times and others have covered part of this work. Some of the computer vision areas she is interested in include fine-grained image recognition, scalable annotation of images, and domain adaptation. Prior to joining Fei-Fei's lab, she worked at Apple designing circuits and signal processing algorithms for various Apple products including the first iPad. She also spent an obligatory year as an entrepreneur (as all Stanford undergrads seem to do). My research was supported by the NSF foundation GRFP fellowship and the Stanford DARE fellowship.
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