Mind your language: The battle for linguistic diversity in AI

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Mind your language: The battle for linguistic diversity in AI

An international organization under the UN has campaigned for linguistic diversity in AI, challenging the dominance of English. At the Artificial Intelligence Action Summit, Sundar Pichai announced the addition of over 110 new languages to Google Translate, marking a significant step towards inclusivity. This development is seen as a victory for advocates who have worked tirelessly to ensure that tech companies recognize the importance of linguistic representation.

The article highlights the ongoing challenges faced by non-English speakers when using AI tools, particularly generative AI like ChatGPT. Despite improvements, responses in languages other than English often lack depth and accuracy, leading to a phenomenon known as 'hallucination' in AI outputs. The push for linguistic diversity is further supported by the UN's Global Digital Compact, which aims to integrate cultural and linguistic diversity into AI policymaking.

• Sundar Pichai announced 110 new languages added to Google Translate.

• AI tools still struggle with non-English languages, leading to inaccuracies.

Key AI Terms Mentioned in this Article

Generative AI

Generative AI refers to AI systems capable of creating original content, such as text and images.

Large Language Models (LLMs)

LLMs are AI models that process vast amounts of text data to understand and generate human-like language.

AI Hallucination

AI hallucination occurs when AI generates incorrect or nonsensical information with confidence.

Companies Mentioned in this Article

Google

Google is enhancing its translation capabilities to include more languages, reflecting a commitment to linguistic diversity.

OpenAI

OpenAI's ChatGPT has faced criticism for its limitations in responding accurately in non-English languages.

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