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Timnit Gebru

1983 – present

Timnit Gebru is an Ethiopian-born computer scientist who works on algorithmic bias and data mining. She co-authored the Gender Shades study documenting accuracy disparities in commercial facial analysis systems, co-founded the group Black in AI, and co-led Google's Ethical AI team. In 2021 she founded the Distributed AI Research Institute.

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Life events

Born in Addis Ababa, Ethiopia
1983
Source: en.wikipedia.org
Birth ✓
Left Ethiopia and was granted asylum in the United States
c. 1998

She left Ethiopia during the Eritrean-Ethiopian War as a teenager and settled in Massachusetts.

Relocation ?
Worked as an engineer at Apple
c. 2005

She worked on audio hardware and signal processing for Apple products after completing her undergraduate studies.

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Completed a PhD in computer vision at Stanford University
2017

Her doctoral research, supervised by Fei-Fei Li, used images from Google Street View to estimate demographic patterns across United States neighbourhoods.

Source: en.wikipedia.org
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Co-founded Black in AI
2017

She co-founded the organisation with Rediet Abebe to increase the presence of Black researchers in artificial intelligence.

Source: en.wikipedia.org
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Published the Gender Shades study with Joy Buolamwini
2018

The paper reported that commercial facial analysis systems had substantially higher error rates for darker-skinned women than for lighter-skinned men.

Source: en.wikipedia.org
Achievement ✓
Joined Google as co-lead of the Ethical Artificial Intelligence team
2018
Source: en.wikipedia.org
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Departure from Google
December 2020

Her employment ended after a dispute over a paper on the risks of large language models; Google stated that she had resigned, while Gebru said she had been fired.

Source: en.wikipedia.org
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Founded the Distributed AI Research Institute
December 2021

She launched DAIR as an independent, community-rooted artificial intelligence research institute.

Source: en.wikipedia.org
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Named to the Time 100 list
2022

Time magazine included her among its one hundred most influential people of the year.

Source: en.wikipedia.org
Achievement ✓