aifaq.wtf

One approach for classifying content is to translate the text into English, then analyze it. This has very predictable side effects if you aren't tweaking the model:

One example outlined in the paper showed that in English, references to a dove are often associated with peace. In Basque, a low-resource language, the word for dove (uso) is a slur used against feminine-presenting men. An AI moderation system that is used to flag homophobic hate speech, and dominated by English-language training data, may struggle to identify “uso” as it is meant.

Looks great!

Multilingual AI is a vey real issue, with literal lives on the line. Mostly because Facebook wants to use AI to moderate hate speech instead of using actual human beings (although that has problems, too). Ignoring content moderation on social media in non-English countries goes much worse than you'd imagine.

Lots of ways to contribute, from the Aya site:

If you're interested in this kind of thing, a term to search for is "NLP and under-resourced languages." It absolutely goes well beyond that, but it's a good starting point.