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...