Timnit Gebru

发表

Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing

Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, 2020, FAT*.

Fine-Grained Car Detection for Visual Census Estimation

Jonathan Krause, Timnit Gebru, Li Fei-Fei, 2017, AAAI.

Model Cards for Model Reporting

Inioluwa Deborah Raji, Timnit Gebru, Ben Hutchinson, 2018, FAT.

Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning

Timnit Gebru, 2020, KDD.

Detecting Bias with Generative Counterfactual Face Attribute Augmentation pdf

Emily Denton, Timnit Gebru, Ben Hutchinson, 2019, ArXiv.

Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing

Inioluwa Deborah Raji, Emily Denton, Margaret Mitchell, 2020, AIES.

Datasheets for datasets pdf

Timnit Gebru, Hanna M. Wallach, Hal Daumé, 2018, Commun. ACM.

Oxford Handbook on AI Ethics Book Chapter on Race and Gender pdf

Timnit Gebru, Timnit Gebru, 2019, ArXiv.

Diversity and Inclusion Metrics in Subset Selection

Emily Denton, Margaret Mitchell, Timnit Gebru, 2020, AIES.

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States pdf

Jonathan Krause, Timnit Gebru, Li Fei-Fei, 2017, Proceedings of the National Academy of Sciences.

Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Timnit Gebru, Joy Buolamwini, Timnit Gebru, 2018, FAT.

Responsible Innovation for Machine Learning: Toward a Framework for Internal Algorithmic Audits

Inioluwa Deborah Raji, Andrew Smart, Margaret Mitchell, 2020 .

Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias

Emily Denton, Timnit Gebru, Ben Hutchinson, 2019 .

Scalable Annotation of Fine-Grained Categories Without Experts

Jonathan Krause, Fei-Fei Li, Timnit Gebru, 2017, CHI.

Lessons from archives: strategies for collecting sociocultural data in machine learning

Timnit Gebru, Eun Seo Jo, Timnit Gebru, 2019, FAT*.

Understanding the limitations of AI: When Algorithms Fail

Timnit Gebru, 2018 .

Scalable Annotation of Fine-Grained Objects Without Experts

Jonathan Krause, Timnit Gebru, Li Fei-Fei, 2017 .

Learning Features and Parts for Fine-Grained Recognition

Jonathan Krause, Fei-Fei Li, Timnit Gebru, 2014, 2014 22nd International Conference on Pattern Recognition.

Drivers of Variability in Energy Consumption

Ram Rajagopal, Jure Leskovec, Timnit Gebru, 2017 .

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States

Jonathan Krause, Timnit Gebru, Li Fei-Fei, 2017, Proceedings of the National Academy of Sciences.

Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach

Timnit Gebru, Li Fei-Fei, Judy Hoffman, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

iCassava 2019Fine-Grained Visual Categorization Challenge pdf

Timnit Gebru, Ernest Mwebaze, Andrea Frome, 2019, ArXiv.

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜

Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, 2021, FAccT.

Visual Census: Using Cars to Study People and Society

Jonathan Krause, Timnit Gebru, Li Fei-Fei, 2017 .