default search action
Timnit Gebru
Person information
- affiliation: Distributed Artificial Intelligence Research institute (DAIR), USA
- affiliation (former): Google Research, Mountain View, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j3]Timnit Gebru, Émile P. Torres:
The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence. First Monday 29(4) (2024) - [i15]Suresh Venkatasubramanian, Timnit Gebru, Ufuk Topcu, Haley Griffin, Leah Namisa Rosenbloom, Nasim Sonboli:
Community Driven Approaches to Research in Technology & Society CCC Workshop Report. CoRR abs/2406.07556 (2024) - 2023
- [c14]Harry H. Jiang, Lauren Brown, Jessica Cheng, Mehtab Khan, Abhishek Gupta, Deja Workman, Alex Hanna, Johnathan Flowers, Timnit Gebru:
AI Art and its Impact on Artists. AIES 2023: 363-374 - 2022
- [i14]Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel:
A Human Rights-Based Approach to Responsible AI. CoRR abs/2210.02667 (2022) - 2021
- [j2]Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford:
Datasheets for datasets. Commun. ACM 64(12): 86-92 (2021) - [c13]Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell:
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? FAccT 2021: 610-623 - [c12]Raesetje Sefala, Timnit Gebru, Nyalleng Moorosi, Luzango Mfupe, Richard Klein:
Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c11]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. AIES 2020: 117-123 - [c10]Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton:
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. AIES 2020: 145-151 - [c9]Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes:
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. FAT* 2020: 33-44 - [c8]Eun Seo Jo, Timnit Gebru:
Lessons from archives: strategies for collecting sociocultural data in machine learning. FAT* 2020: 306-316 - [c7]Timnit Gebru:
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning. KDD 2020: 3609 - [i13]Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton:
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. CoRR abs/2001.00964 (2020) - [i12]Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes:
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing. CoRR abs/2001.00973 (2020) - [i11]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. CoRR abs/2002.03256 (2020)
2010 – 2019
- 2019
- [c6]Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru:
Model Cards for Model Reporting. FAT 2019: 220-229 - [i10]Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru:
Detecting Bias with Generative Counterfactual Face Attribute Augmentation. CoRR abs/1906.06439 (2019) - [i9]Ernest Mwebaze, Timnit Gebru, Andrea Frome, Solomon Nsumba, Jeremy Tusubira:
iCassava 2019Fine-Grained Visual Categorization Challenge. CoRR abs/1908.02900 (2019) - [i8]Timnit Gebru:
Oxford Handbook on AI Ethics Book Chapter on Race and Gender. CoRR abs/1908.06165 (2019) - [i7]Eun Seo Jo, Timnit Gebru:
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning. CoRR abs/1912.10389 (2019) - 2018
- [c5]Joy Buolamwini, Timnit Gebru:
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. FAT 2018: 77-91 - [i6]Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford:
Datasheets for Datasets. CoRR abs/1803.09010 (2018) - [i5]Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru:
Model Cards for Model Reporting. CoRR abs/1810.03993 (2018) - 2017
- [j1]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei:
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. Proc. Natl. Acad. Sci. USA 114(50): 13108-13113 (2017) - [c4]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei:
Fine-Grained Car Detection for Visual Census Estimation. AAAI 2017: 4502-4508 - [c3]Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei:
Scalable Annotation of Fine-Grained Categories Without Experts. CHI 2017: 1877-1881 - [c2]Timnit Gebru, Judy Hoffman, Li Fei-Fei:
Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach. ICCV 2017: 1358-1367 - [i4]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Aiden Lieberman, Li Fei-Fei:
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US. CoRR abs/1702.06683 (2017) - [i3]Timnit Gebru, Judy Hoffman, Li Fei-Fei:
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach. CoRR abs/1709.02476 (2017) - [i2]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei:
Fine-Grained Car Detection for Visual Census Estimation. CoRR abs/1709.02480 (2017) - [i1]Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei:
Scalable Annotation of Fine-Grained Categories Without Experts. CoRR abs/1709.02482 (2017) - 2014
- [c1]Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei:
Learning Features and Parts for Fine-Grained Recognition. ICPR 2014: 26-33
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:10 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint