AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 647 · 40 questions

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

1. 1.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) check who is missing (d) test on one group only
2. 2.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) ignore complaints (d) fix wrong labels
3. 3.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) fix wrong labels (d) ask different people
4. 4.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
7. 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
8. 8.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) ask different people (d) ignore complaints
9. 9.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
10. 10.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
11. 11.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
13. 13.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
14. 14.Which of these helps reduce bias? (a) add varied examples (b) ignore complaints (c) test on one group only (d) add more of the same
15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
17. 17.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.True or false: “add varied examples” helps reduce bias. (a) False (b) True
19. 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
20. 20.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
22. 22.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
23. 23.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) copy old unfair choices
25. 25.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) ask different people (d) test on one group only
26. 26.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
27. 27.True or false: “use one group only” adds to bias. (a) True (b) False
28. 28.True or false: “fix wrong labels” adds to bias. (a) True (b) False
29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
30. 30.True or false: “test on one group only” adds to bias. (a) False (b) True
31. 31.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on one group only (d) check who is missing
32. 32.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
33. 33.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
34. 34.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
35. 35.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
37. 37.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
38. 38.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
40. 40.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students