AI Activity Concentrated US, China, Europe Excludes 93% World Languages

Artificial intelligence systems, particularly large language models, often fail to include or accurately process many of the world's languages, leading to digital underrepresentation of roughly 93 percent of languages and marginalizing entire communities. This exclusion is systemic, driven by economic and epistemic biases favoring data from dominant regions like the U.S., China, and Western Europe. AI’s limitations in understanding complex linguistic features such as idioms, dialects, and cultural nuances result in communication challenges, especially in critical fields like healthcare and education where accurate translation is vital. The rise of AI has also sparked debate about its impact on education, with some criticizing humanities programs as becoming obsolete due to AI's capabilities in tasks like essay writing and text analysis, though others argue for coexistence with AI rather than competition. Moreover, concerns are growing that AI technologies might exacerbate social isolation by replacing human interaction. Within the tech and gaming industries, attitudes toward AI use remain mixed, reflecting both enthusiasm for productivity gains and caution about its broader implications.