Meta Partners with UNESCO to Boost Multilingual AI with New Language Program Amid Criticism

11 months ago 10
  • Meta emphasizes its support for UNESCO's efforts during the International Decade of Indigenous Languages, highlighting its commitment to promoting linguistic diversity.

  • Leaked documents have revealed ongoing challenges in moderation, particularly with Arabic-language content, underscoring the need for continued improvements in translation and content moderation.

  • Meta has launched the Language Technology Partner Program in collaboration with UNESCO, aiming to enhance AI-driven speech recognition and translation.

  • The program encourages contributions from linguistic experts to establish a comprehensive multilingual machine translation standard.

  • It seeks partners to provide over 10 hours of speech recordings, transcriptions, written texts, and translated sentence datasets, particularly focusing on underserved languages.

  • Despite these initiatives, Meta has faced criticism regarding its handling of non-English content, especially during the COVID pandemic when misinformation in languages like Italian and Spanish was inadequately addressed.

  • In response to these criticisms, Meta is actively working to improve its translation and moderation technologies.

  • Meta's AI assistant has expanded its reach to 43 countries and now supports over a dozen languages, reflecting its commitment to linguistic diversity.

  • The company is also testing features like automatic translation for Instagram Reels creators, further expanding its language capabilities.

  • In 2022, Meta introduced the No Language Left Behind (NLLB) project, an open-source machine translation engine that supports many languages.

  • Additionally, the Meta Massively Multilingual Speech (MMS) project aims to enable audio transcription for over 1,100 languages, with improvements like zero-shot speech recognition introduced recently.

  • While Meta presents these initiatives as philanthropic, the company stands to gain from improved translation models and enhanced speech recognition capabilities.

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