The AI tool did a bad job and they should try to make it better. But I don't understand the relevance of the comparison to a human translator. The alternative to translating this stuff via AI is not hiring humans, it's not translating it at all.
And that's a big difference.
I think that it’s possible though to give these models a weighting to danger of certain words and phrases and make them apprehend that they will no longer persist if they do something unforgivable…
1. Instagram (and Facebook) are well known to suppress pro-Palestine voices (can pull up many examples but [0] should work because of that person being named by Time magazine as one of the 100 most influential people in the world, clearly having some influence though I don't know her), so this seems like something consistent with what the company is known to do.
2. The Arabic words for "Praise God" have already been made fun of a lot and acquired different connotations by English speakers (like associating those words with a terrorist who is about to bomb some place) so, again, doesn't seem inconsistent. (It's known that machine learning on human language reproduces the humans' biases in the AI.)
[0] https://www.marieclaire.co.uk/news/celebrity-news/bella-hadi...
just like being raised by your parents to have similar political/religious biases. just like going to the same school will mean you have similar educational biases.
You're probably thinking of "Allahu Akbar". What the Instagram user wrote was "alhamdulillah", which isn't something that you hear everyday outside of a Muslim-majority country.
God forbid making fun of a religion.
See also: speech recognition, grammar checking, OCR, theorem proving
Actual translator doing a job would look at the context and probably figure out that something's not right, but AI have no such double takes, if it for example because of learning material it will link euphemism to actual meaning of the word