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If it was trained on Google News it would just make more sense to me that it is a reflection of our journalists and possibly whatever algorithm Google uses to identify popularity, presumably a reflection of our society.

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Yes, but the intention is to demonstrate one of the issues with using ML. For example, translating into a language which uses genders in grammar. A human translator will read a passage to determine a doctor's gender. A machine translation will know that doctor is usually translated as a male doctor and apply that to the translation. If the bias in the training is strong enough it can override actual signs in the source content that the doctor is a woman.

If a person reads enough translated content, this just passes on the bias from the training data.

https://mashable.com/2017/11/30/google-translate-sexism/?eur...

Right. This is simply a matter of what was used as training data.

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