Timnit Gebru
Timnit Gebru is DAIR's founder and an active researcher whose work examines who builds AI and who bears its costs. Her career includes hardware and signal-processing work at Apple, followed by a Stanford doctorate in computer vision. She cofounded Black in AI with Rediet Abebe. With Joy Buolamwini, she published Gender Shades, which found uneven error rates in three commercial gender-classification systems. She also coauthored Datasheets for Datasets and Stochastic Parrots. Her 2020 Google departure remains disputed: she describes being fired, while Google's published account described accepting a resignation. She founded DAIR in 2021. Right Livelihood named her a 2026 laureate. The ceremony is scheduled for December.
- Now at
- DAIR Institute
- Works
- 38
- Citations
- 15,924
- h-index
- 22
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
Apple and Stanford
Hardware, then images
She works on hardware at Apple and completes a Stanford doctorate in computer vision.
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2016–2017
Making space for more researchers
She and Rediet Abebe cofound Black in AI.
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2018
A face-analysis test finds a gap
With Joy Buolamwini, she tests three commercial gender-classification systems and reports group differences in errors.
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December 2021
Starting an independent institute
She founds DAIR, an independent institute working with communities affected by AI.
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September–October 2026
The work receives a current award
Right Livelihood names her a 2026 laureate for her ongoing work.
Sources and credits
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- Right Livelihood: current Gebru laureate biography
- Right Livelihood: Gebru award announcement, 30 September 2026
- Gebru: historical Stanford personal page
- Black in AI: organization history
- Buolamwini and Gebru: Gender Shades, 2018
- Gebru and colleagues: Datasheets for Datasets
- UW: Stochastic Parrots research announcement, 10 March 2021
- Gebru and Dean: emails reproduced by Platformer, December 2020