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Gender Bias in Natural Language Processing (NLP) with Attapol Rutherford

Attapol Thamrongrattanarit-Rutherford is an Assistant Professor at the Department of Linguistics at Faculty of Arts Chulalongkorn University in Bangkok, Thailand. He presented his work about Gender Bias in Natural Language Processing at the 2nd South East Asia regional meeting for the Feminist AI Research Network.

The Life of a Benchmark Dataset in Machine Learning Research

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)

Spatial Apartheid: Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa.

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)

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Controlling bias in artificial intelligence

roject that strives to come up with fast, novel algorithms that can solve the bias issue.

Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework

This article explores ways of fixing biased data to make it better resemble real underlying distributions in the population.

Balanced Ranking

Balanced ranking prototype demonstrates that it is possible to be fair while only losing a small amount of value.

Image Search

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News Search

Balanced search is a prototype aimed at demonstrating novel algorithms that can be used for delivering diverse content.

Fair Multiwinners Elections

Prototype aimed to demonstrate ‘fair’ voting algorithms.

Online Ads

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.