Timnit Gebru

34 papers A* 5B 1C 3Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
The Role of Expertise in Effectively Moderating Harmful Social Media Content.
CHI
Nuredin Ali Abdelkadir, Tianling Yang, Shivani Kapania, Meron Estefanos, Fasica Berhane Gebrekidan, Zecharias Zelalem, Messai Ali, Rishan Berhe, Dylan K. Baker, Zeerak Talat, Milagros Miceli, Alex Hanna, Timnit Gebru
2024 J jnl
Beyond Fairness in Computer Vision: A Holistic Approach to Mitigating Harms and Fostering Community-Rooted Computer Vision Research.
Found. Trends Comput. Graph. Vis.
Timnit Gebru, Remi Denton
2024 J jnl
Community Driven Approaches to Research in Technology & Society CCC Workshop Report.
CoRR
Suresh Venkatasubramanian, Timnit Gebru, Ufuk Topcu, Haley Griffin, Leah Namisa Rosenbloom, Nasim Sonboli
2024 J jnl
The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence.
First Monday
Timnit Gebru, Émile P. Torres
2023 C conf
AI Art and its Impact on Artists.
AIES
Harry H. Jiang, Lauren Brown, Jessica Cheng, Mehtab Khan, Abhishek Gupta, Deja Workman, Alex Hanna, Johnathan Flowers, Timnit Gebru
2022 J jnl
A Human Rights-Based Approach to Responsible AI.
CoRR
Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel
2021 — conf
Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa.
NeurIPS Datasets and Benchmarks
Raesetje Sefala, Timnit Gebru, Nyalleng Moorosi, Luzango Mfupe, Richard Klein
2021 J jnl
Datasheets for datasets.
Commun. ACM
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford
2021 — conf
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
FAccT
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell
2020 J jnl
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing.
CoRR
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
2020 — conf
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.
FAT*
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
2020 C conf
Diversity and Inclusion Metrics in Subset Selection.
AIES
Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
2020 J jnl
Diversity and Inclusion Metrics in Subset Selection.
CoRR
Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
2020 A* conf
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning.
KDD
Timnit Gebru
2020 — conf
Lessons from archives: strategies for collecting sociocultural data in machine learning.
FAT*
Eun Seo Jo, Timnit Gebru
2020 C conf
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing.
AIES
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
2020 J jnl
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing.
CoRR
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
2019 J jnl
Detecting Bias with Generative Counterfactual Face Attribute Augmentation.
CoRR
Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru
2019 J jnl
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning.
CoRR
Eun Seo Jo, Timnit Gebru
2019 — conf
Model Cards for Model Reporting.
FAT
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru
2019 J jnl
Oxford Handbook on AI Ethics Book Chapter on Race and Gender.
CoRR
Timnit Gebru
2019 J jnl
iCassava 2019Fine-Grained Visual Categorization Challenge.
CoRR
Ernest Mwebaze, Timnit Gebru, Andrea Frome, Solomon Nsumba, Jeremy Tusubira
2018 J jnl
Datasheets for Datasets.
CoRR
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford
2018 — conf
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.
FAT
Joy Buolamwini, Timnit Gebru
2018 J jnl
Model Cards for Model Reporting.
CoRR
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru
2017 A* conf
Fine-Grained Car Detection for Visual Census Estimation.
AAAI
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
2017 J jnl
Fine-Grained Car Detection for Visual Census Estimation.
CoRR
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
2017 A* conf
Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach.
ICCV
Timnit Gebru, Judy Hoffman, Li Fei-Fei
2017 J jnl
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach.
CoRR
Timnit Gebru, Judy Hoffman, Li Fei-Fei
2017 A* conf
Scalable Annotation of Fine-Grained Categories Without Experts.
CHI
Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
2017 J jnl
Scalable Annotation of Fine-Grained Categories Without Experts.
CoRR
Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
2017 J jnl
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US.
CoRR
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Aiden Lieberman, Li Fei-Fei
2017 J jnl
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.
Proc. Natl. Acad. Sci. USA
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei
2014 B conf
Learning Features and Parts for Fine-Grained Recognition.
ICPR
Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei