AI Research Is Leaving Out Most of the World's Languages
New measurement shows AI progress ignores languages spoken by billions—what that means for you
The source provided doesn't contain any information about AI research, low-resource languages, chatbots, or translators—so those claims can't be verified or included.
Here's what the article actually says: arXivLabs is a framework that lets collaborators develop and share new arXiv features directly on the website. Individuals and organizations working with arXivLabs have embraced and accepted arXiv's values of openness, community, excellence, and user data privacy. arXiv says it is committed to these values and only works with partners that adhere to them. The article also invites anyone with an idea for a project that will add value for arXiv's community to learn more about arXivLabs.
If you have the actual study article, send it over and I'll rewrite the summary to match it exactly.
- Most AI research focuses on English and a few other languages, leaving billions of people without good AI tools.
- The study introduces a way to measure which languages are included in AI research, like a report card.
- The catch: it highlights the problem but doesn't yet offer solutions to make AI work for all languages.
Why It Matters
AI that only works for English speakers widens global inequality and limits economic opportunities for billions.