AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 761 · 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.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
2. 2.🖼️ 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
3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
4. 4.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
5. 5.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) test on one group only (d) balance the data
6. 6.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
7. 7.True or false: “fix wrong labels” adds to bias. (a) True (b) False
8. 8.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on one group only (d) check who is missing
10. 10.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
11. 11.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) add varied examples (d) fix wrong labels
13. 13.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
14. 14.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
15. 15.Which of these adds to bias? (a) ask different people (b) check who is missing (c) add varied examples (d) copy old unfair choices
16. 16.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) balance the data (d) ignore complaints
17. 17.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
18. 18.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) fix wrong labels (d) ignore complaints
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
21. 21.True or false: “use one group only” adds to bias. (a) True (b) False
22. 22.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) add more of the same (d) skip testing
23. 23.True or false: “skip testing” helps reduce bias. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) fix wrong labels (d) ignore complaints
25. 25.True or false: “use one group only” helps reduce bias. (a) True (b) False
26. 26.True or false: “balance the data” adds to bias. (a) False (b) True
27. 27.True or false: “add more of the same” adds to bias. (a) True (b) False
28. 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
30. 30.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
31. 31.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
32. 32.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
33. 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
34. 34.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) test on many groups (d) add varied examples
37. 37.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) use one group only (d) copy old unfair choices
39. 39.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) test on many groups (d) balance the data
40. 40.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False

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