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At the Global Launch of Feminist AI Research Network on January 26, 2022, Emily Denton, Research Scientist at Google, answered the question: What do benchmark datasets mean for Feminist AI, and where do we go from here in our collective work?
To answer this question, they presented their NeuroIPS 2021 paper co-authored with Bernard Koch, Alex Hanna, and Jacob G. Foster, entitled, Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. They conversed with Raejetse Sefala of DAIR (whose talk on Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa is posted separately)
At the Global Launch of Feminist AI Research Network on January 26, 2022, Emily Denton, Research Scientist at Google, answered the question: What do benchmark datasets mean for Feminist AI, and where do we go from here in our collective work?
To answer this question, they presented their NeuroIPS 2021 paper co-authored with Bernard Koch, Alex Hanna, and Jacob G. Foster, entitled, Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. They conversed with Raejetse Sefala of DAIR (whose talk on Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa is posted separately)
This article explores ways of fixing biased data to make it better resemble real underlying distributions in the population.
Balanced ranking prototype demonstrates that it is possible to be fair while only losing a small amount of value.
A framework which can serve fair advertisements, + allows the platform to control the fraction of each sensitive-type an advertiser’s ad gets shown to while maximizing its ad revenues.
