Moral Machines: Translation Suppliers and AI Ethics

That said, service suppliers might still be concerned about potential bias within the datasets used to build automated translation solutions. The response could be that (post)editing is basically tasked with removing any traces of unwanted "bias" generated by an unthinking machine. It would, of course, be interesting to know whether we can teach the technology to automatically isolate potential bias (in the "social" sense) from semantic error in the industry sense of mistranslation. Or more subtly, could translating something accurately unwittingly induce a sentiment of bias for a given native speaker? Going forward, the pursuit of translation accuracy may require social inclusiveness in certain cases to address the emerging norms of new language user communities.