I found this while browsing Reddit, and going past the first reaction of “this is terrible” I think it can spark an interesting discussion on machine learning and how our own societal problems can end up creating bad habits and immortalizing those issues when building such systems.

So, what do you guys think about this?

@joojmachine
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52Y

It could and should still do better than this, specially considering the stereotypical assumptions it took.

In such cases it should, for example, make it clearer that it isn’t gender defined by using “(he/she)” instead of just assigning one.

@aronkvh
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32Y

which would help understanding it. maybe a single-use they could be better too than a random pronoun. and also I tested some other sentences: Egy ember (a person) was translated to a man. but Translate improved a lot in the last couple years since the translations make sense at least

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