Language Bias: Why English Dominates AI

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-data-language-bias

1. What is the core idea behind "Language Bias: Why English Dominates AI"?

   1. English is 6 percent of the world's speakers but 50+ percent of the training data. This asymmetry shapes every model we use.
   2. Check sites like DeleteMe or Privacy Duck for opt-out services
   3. High-stakes predictions (liberty, healthcare, loans) demand extra scrutiny
   4. Assuming all crawlers obey robots.txt (many do not)

2. Which term best describes a foundational idea in "Language Bias: Why English Dominates AI"?

   1. low-resource language
   2. language bias
   3. multilingual model
   4. NLLB

3. A learner studying Language Bias: Why English Dominates AI would need to understand which concept?

   1. language bias
   2. multilingual model
   3. low-resource language
   4. NLLB

4. Which of these is directly relevant to Language Bias: Why English Dominates AI?

   1. language bias
   2. low-resource language
   3. NLLB
   4. multilingual model

5. Which of the following is a key point about Language Bias: Why English Dominates AI?

   1. Factual errors: model confidently wrong about non-English topics
   2. Grammar errors: confuses gendered languages, tonal languages
   3. Code-switching: struggles when speakers mix languages naturally
   4. Translation drift: goes through English pivoting, losing nuance

6. Which of these does NOT belong in a discussion of Language Bias: Why English Dominates AI?

   1. Factual errors: model confidently wrong about non-English topics
   2. Grammar errors: confuses gendered languages, tonal languages
   3. Check sites like DeleteMe or Privacy Duck for opt-out services
   4. Code-switching: struggles when speakers mix languages naturally

7. Which statement is accurate regarding Language Bias: Why English Dominates AI?

   1. Masakhane: African NLP with datasets for 40+ languages
   2. NLLB (Meta's No Language Left Behind): translation for 200 languages
   3. Mozilla Common Voice: 100+ languages, community-collected speech
   4. FineWeb-2: multilingual version of FineWeb released in 2024

8. Which of these does NOT belong in a discussion of Language Bias: Why English Dominates AI?

   1. Masakhane: African NLP with datasets for 40+ languages
   2. NLLB (Meta's No Language Left Behind): translation for 200 languages
   3. Mozilla Common Voice: 100+ languages, community-collected speech
   4. Check sites like DeleteMe or Privacy Duck for opt-out services

9. What is the key insight about "A striking number" in the context of Language Bias: Why English Dominates AI?

   1. Over 7,000 languages are spoken today. Roughly 100 get meaningful digital resources.
   2. Check sites like DeleteMe or Privacy Duck for opt-out services
   3. High-stakes predictions (liberty, healthcare, loans) demand extra scrutiny
   4. Assuming all crawlers obey robots.txt (many do not)

10. What is the key insight about "Language death" in the context of Language Bias: Why English Dominates AI?

    1. Check sites like DeleteMe or Privacy Duck for opt-out services
    2. Roughly one language dies every two weeks. If AI only works in 100 languages, it accelerates this process by making thos…
    3. High-stakes predictions (liberty, healthcare, loans) demand extra scrutiny
    4. Assuming all crawlers obey robots.txt (many do not)

11. What is the recommended tip about "Ground your practice in fundamentals" in the context of Language Bias: Why English Dominates AI?

    1. Check sites like DeleteMe or Privacy Duck for opt-out services
    2. High-stakes predictions (liberty, healthcare, loans) demand extra scrutiny
    3. Every AI capability has an underlying mechanism. Understanding that mechanism tells you where it'll fail — which is more…
    4. Assuming all crawlers obey robots.txt (many do not)

12. Which statement accurately describes an aspect of Language Bias: Why English Dominates AI?

    1. Check sites like DeleteMe or Privacy Duck for opt-out services
    2. High-stakes predictions (liberty, healthcare, loans) demand extra scrutiny
    3. Assuming all crawlers obey robots.txt (many do not)
    4. About 1.5 billion people speak English, roughly 20 percent of humanity (including second-language speakers).

13. What does working with Language Bias: Why English Dominates AI typically involve?

    1. Researchers found that models often reason better in English even when answering in another language.
    2. Check sites like DeleteMe or Privacy Duck for opt-out services
    3. High-stakes predictions (liberty, healthcare, loans) demand extra scrutiny
    4. Assuming all crawlers obey robots.txt (many do not)

14. Which of the following is true about Language Bias: Why English Dominates AI?

    1. Check sites like DeleteMe or Privacy Duck for opt-out services
    2. The big idea: AI is not language-neutral. Which languages have data determines which cultures thrive in the AI era.
    3. High-stakes predictions (liberty, healthcare, loans) demand extra scrutiny
    4. Assuming all crawlers obey robots.txt (many do not)

15. Which best describes the scope of "Language Bias: Why English Dominates AI"?

    1. It is unrelated to foundations workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on English is 6 percent of the world's speakers but 50+ percent of the training data. This asymmetry sh
    4. It was deprecated in 2024 and no longer relevant