Why multilingual AI coverage still needs editors
Why multilingual AI coverage still needs editors
It is tempting to treat a second language as a pipeline: write in English, push a button, publish. That produces text that is technically grammatical and strategically wrong. A labour story in Persian does not open the same way as a product launch in French. A Portuguese reader in Lisbon is not waiting for Silicon Valley idioms.
AI Polix publishes in English, Persian, Portuguese and French because the audience for AI is already split that way — researchers, public servants, founders, and workers who meet the tools first in their own language. An editor in each language still has to decide what is a news brief and what deserves an article.
Models can draft. They cannot be accountable for a mistranslated legal term, a flattened political context, or a headline that implies a company did something it did not. The work is to keep the facts aligned across locales without forcing every page to be a mirror.
If a claim cannot be sourced, it does not become true by being repeated in four languages. That is the boring standard we will keep.
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