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Timnit Gebru is the founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR). Prior to that she was fired by Google in December 2020 for raising issues of discrimination in the workplace, where she was serving as co-lead of the Ethical AI research team.
Timnit Gebru ( Adís Abeba, c. 1982/1983) es una científica en computación etíope, especializada en algoritmos de minería de datos y sesgo algorítmico. También aboga por la defensa de la diversidad en la tecnología y es cofundadora de Black in AI, una comunidad de investigadores negros que trabajan en inteligencia artificial .
Timnit Gebru (Amharic and Tigrinya: ትምኒት ገብሩ; 1982/1983) is an Eritrean Ethiopian-born computer scientist who works in the fields of artificial intelligence (AI), algorithmic bias and data mining.
4 de dic. de 2020 · Timnit Gebru, the co-lead of Google's ethical AI team, was forced out of the company after publishing a paper that challenged the environmental and social risks of large language models, such as BERT. The paper, coauthored by Gebru and other experts, highlights the dangers of training AI on vast amounts of text data and the need for more research on smaller and more diverse models.
Timnit Gebru. Google. No verified email - Homepage. fairness. Articles Cited by Public access Co-authors. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. ... T Gebru, J Krause, Y Wang, D Chen, J Deng, EL Aiden, L Fei-Fei. Proceedings of the National Academy of Sciences 114 (50), 13108-13113, 2017. 533:
13 de dic. de 2020 · Racismo. Por qué el despido de una investigadora negra de Google se ha convertido en un escándalo global. El silenciamiento y salida de Timnit Gebru generan nuevas dudas sobre el compromiso de...
Timnit Gebru is a research scientist at Google in the ethical AI team, where she studies algorithmic bias and the ethical implications of data-driven projects. She received her PhD from Stanford, worked at Apple and Microsoft Research, and has published papers on computer vision, sociology, and fairness.
