How AI’s language barrier limits climate disaster responses
How AI’s language barrier limits climate disaster responses
https://theconversation.com/how-ais-language-barrier-limits-climate-disaster-responses-278020
Publish Date: 2026-04-09 07:18:00
Source Domain: theconversation.com
A message appears online during heavy flooding: “This rain no be small o, everywhere don red.” Someone unfamiliar with the phrasing might hesitate. But for people in Nigeria, this message is immediate and clear: the flooding is severe and worsening.
Moments like this happen all the time on digital platforms. People don’t write in perfect, standard English sentences. They share warnings and reactions on platforms like X, WhatsApp and Facebook using the language of everyday life. This means sometimes mixing English with local expressions, slang and expressive language shaped by their communities.
Artificial intelligence systems can understand language and tackle a wide range of problems. Governments and organisations are increasingly using AI to scan social media, summarise public conversations, and even respond to environmental and climate issues.
But many of these tools struggle to make sense of the way people actually communicate. Local expressions and slang can confuse AI, so important messages are sometimes misunderstood or missed entirely.
When people talk about language barriers, they often mean translation between different languages. But the problem is more subtle. Around the world, people mix languages and local expressions online, a phenomenon that linguists call “code switching”.
Climate journalism has increasingly moved online, but there are fewer climate reporters in the developing world. This limits the depth and availability of information for a huge proportion of the global population, and shapes how climate issues are discussed and understood across different regions.
For instance, a UK social media post might raise an environmental concern using expressions like: “Are roads flooding already? Chuffed to know the council taking the piss.” Most AI tools can pick up the sarcasm and frustration aimed at local authorities.
In a country such as Nigeria, people may describe unfolding concerns differently: “Abeg is it…