Learning Features and Parts for Fine-Grained Recognition. - Jonathan Krause; Timnit Gebru; Jia Deng 001; Li-Jia Li 001; Li Fei-Fei 001 (ICPR, 2014)

Fine-Grained Car Detection for Visual Census Estimation. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Li Fei-Fei 001 (AAAI, 2017)

Scalable Annotation of Fine-Grained Categories Without Experts. - Timnit Gebru; Jonathan Krause; Jia Deng 001; Li Fei-Fei 001 (CHI, 2017)

Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach. - Timnit Gebru; Judy Hoffman; Li Fei-Fei 001 (ICCV, 2017)

Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Erez Aiden Lieberman; Li Fei-Fei 001 (CoRR, 2017)

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Erez Lieberman Aiden; Li Fei-Fei 001 (Proc. Natl. Acad. Sci. USA, 2017)

Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. - Joy Buolamwini; Timnit Gebru (FAT, 2018)

Model Cards for Model Reporting. - Margaret Mitchell; Simone Wu; Andrew Zaldivar; Parker Barnes; Lucy Vasserman; Ben Hutchinson; Elena Spitzer; Inioluwa Deborah Raji; Timnit Gebru (FAT, 2019)

Detecting Bias with Generative Counterfactual Face Attribute Augmentation. - Emily Denton; Ben Hutchinson; Margaret Mitchell; Timnit Gebru (CoRR, 2019)

iCassava 2019Fine-Grained Visual Categorization Challenge. - Ernest Mwebaze; Timnit Gebru; Andrea Frome; Solomon Nsumba; Jeremy Tusubira (CoRR, 2019)

Oxford Handbook on AI Ethics Book Chapter on Race and Gender. - Timnit Gebru (CoRR, 2019)

Diversity and Inclusion Metrics in Subset Selection. - Margaret Mitchell; Dylan K. Baker; Nyalleng Moorosi; Emily Denton; Ben Hutchinson; Alex Hanna; Timnit Gebru; Jamie Morgenstern (AIES, 2020)

Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. - Inioluwa Deborah Raji; Timnit Gebru; Margaret Mitchell; Joy Buolamwini; Joonseok Lee; Emily Denton (AIES, 2020)

Lessons from archives: strategies for collecting sociocultural data in machine learning. - Eun Seo Jo; Timnit Gebru (FAT*, 2020)

Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. - Inioluwa Deborah Raji; Andrew Smart; Rebecca N. White; Margaret Mitchell; Timnit Gebru; Ben Hutchinson; Jamila Smith-Loud; Daniel Theron; Parker Barnes (FAT*, 2020)

Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning. - Timnit Gebru (KDD, 2020)

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? - Emily M. Bender; Timnit Gebru; Angelina McMillan-Major; Shmargaret Shmitchell (FAccT, 2021)

Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa. - Raesetje Sefala; Timnit Gebru; Nyalleng Moorosi; Luzango Mfupe; Richard Klein (NeurIPS Datasets and Benchmarks, 2021)

Datasheets for datasets. - Timnit Gebru; Jamie Morgenstern; Briana Vecchione; Jennifer Wortman Vaughan; Hanna M. Wallach; Hal Daumé III; Kate Crawford 002 (Commun. ACM, 2021)

A Human Rights-Based Approach to Responsible AI. - Vinodkumar Prabhakaran; Margaret Mitchell; Timnit Gebru; Iason Gabriel (CoRR, 2022)

AI Art and its Impact on Artists. - Harry H. Jiang; Lauren Brown; Jessica Cheng; Mehtab Khan; Abhishek Gupta; Deja Workman; Alex Hanna; Johnathan Flowers; Timnit Gebru (AIES, 2023)

Community Driven Approaches to Research in Technology & Society CCC Workshop Report. - Suresh Venkatasubramanian; Timnit Gebru; Ufuk Topcu; Haley Griffin; Leah Namisa Rosenbloom; Nasim Sonboli (CoRR, 2024)

Beyond Fairness in Computer Vision: A Holistic Approach to Mitigating Harms and Fostering Community-Rooted Computer Vision Research. - Timnit Gebru; Remi Denton (Found. Trends Comput. Graph. Vis., 2024)

The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence. - Timnit Gebru; Émile P. Torres (First Monday, 2024)

The Role of Expertise in Effectively Moderating Harmful Social Media Content. - 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; et al. (CHI, 2025)