This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.
Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.
Rules:
1: All Lemmy rules apply
2: Do not post low effort posts
3: NEVER post naziped*gore stuff
4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.
5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)
6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist
7: crypto related posts, unless essential, are disallowed
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?
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.
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