1.4k citations · 2.5k across the 47 of their papers we have counts for
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cs.CL2016★ 1.4k cited
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Zou +2
The blind application of machine learning runs the risk of amplifying biases present in data. Such a danger is facing us with word embedding, a popular framework to represent text…
cs.CL2016★ 61 cited
Quantifying and Reducing Stereotypes in Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Zou +2
Machine learning algorithms are optimized to model statistical properties of the training data. If the input data reflects stereotypes and biases of the broader society, then the o…