[bbctol]

Was this surprising? What exactly did it find?

I haven't been able to track down the original source of the "Machine learning is like money laundering for bias" quote, but I worry about it in situations like this. To be clear, I think the phenomenon the article is discussing is real and valid: the implicit linking of genders to occupations is pretty well-documented, and I don't doubt they've found something. But it's a little difficult to say what's actually been contributed to the literature here.

That said, their work on manually "de-biasing" the language by applying mathematical transformations to the word space is definitely interesting... I'm just not sure what it is yet.

[skybrian]

The contribution to the literature is showing how to measure and remove one source of bias from word2vec. Were you expecting something else?