The errors and cultural blind spots introduced by machine translation can lead to confusion and rejected asylum claims, Rest of the World has found. Rise in demand for translators In 2021, the Taliban returned to power in Afghanistan, displacing million of Afghans. As Afghan refugees seek asylum around the world, there is a growing demand for translators. Some translation providers have turned to machine learning models to cut costs and save time, but refugee advocates say this risks introducing error into asylum claims. AI translation models are more accurate for
Social media giant Facebook is on a mission to create some of the most innovative forms of technology in society today. The platform recently announced the launch of its new AI translator, No Language Left Behind (NLLB-200), the first multilingual machine that can translate up to 200 languages without relying on English data. The NLLB-200 aims to help people better connect in society today by eliminating the language barrier. Meta’s AI model uses one of the world’s fastest AI supercomputers and is already used to translate content on Facebook and Wikipedia.
