Because the internet overrepresents Western, English, and digitized sources while neglecting local, oral, and non‑digitized traditions, AI systems trained on web data inherit those omissions. As people increasingly rely on chatbots for practical guidance, this skews what counts as 'authoritative' and can erase majority‑world expertise.
— It reframes AI governance around data inclusion and digitization policy, warning that without deliberate countermeasures, AI will harden global knowledge inequities.
msmash
2025.10.14
90% relevant
It cites Common Crawl’s English dominance (44%), the extreme underrepresentation of Hindi (0.2%) and Tamil (0.04%), that ~97% of languages are low‑resource, and a study where 75% of 12,495 medicinal‑plant uses were unique to a single local language—then warns LLM 'mode amplification' will further entrench these gaps as AI content feeds future training.
Deepak Varuvel Dennison
2025.10.13
100% relevant
The author’s claim that 'huge swathes of human knowledge are missing from the internet' and that a 2025 ChatGPT‑use study shows many rely on it for information and guidance.
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