2.1k citations · 3.3k across the 17 of their papers we have counts for
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Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning
Eun Seo Jo, Timnit Gebru
A growing body of work shows that many problems in fairness, accountability, transparency, and ethics in machine learning systems are rooted in decisions surrounding the data colle…
Oxford Handbook on AI Ethics Book Chapter on Race and Gender
Timnit Gebru
From massive face-recognition-based surveillance and machine-learning-based decision systems predicting crime recidivism rates, to the move towards automated health diagnostic syst…
iCassava 2019 Fine-Grained Visual Categorization Challenge
Ernest Mwebaze, Timnit Gebru, Andrea Frome +2
Viral diseases are major sources of poor yields for cassava, the 2nd largest provider of carbohydrates in Africa.At least 80% of small-holder farmer households in Sub-Saharan Afric…
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Remi Denton, Ben Hutchinson, Margaret Mitchell +2
Facial analysis models are increasingly used in applications that have serious impacts on people's lives, ranging from authentication to surveillance tracking. It is therefore crit…