AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 77 · 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 of these helps reduce bias? (a) add more of the same (b) use one group only (c) add varied examples (d) test on one group only
2. 2.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
3. 3.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
4. 4.True or false: “check who is missing” adds to bias. (a) True (b) False
5. 5.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
7. 7.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) test on many groups (d) ignore complaints
8. 8.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
10. 10.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
11. 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
12. 12.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
13. 13.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) add varied examples (d) copy old unfair choices
15. 15.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) check who is missing (d) skip testing
16. 16.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
17. 17.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
18. 18.True or false: “skip testing” helps reduce bias. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) check who is missing (d) balance the data
20. 20.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) check who is missing (d) test on many groups
21. 21.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
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: “ask different people” adds to bias. (a) False (b) True
24. 24.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add more of the same (d) check who is missing
25. 25.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) fix wrong labels (d) add more of the same
26. 26.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) add more of the same (d) test on many groups
27. 27.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
28. 28.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
29. 29.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) balance the data (d) skip testing
30. 30.Which of these adds to bias? (a) test on many groups (b) balance the data (c) copy old unfair choices (d) fix wrong labels
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: copy old unfair choices? (a) adds to bias (b) reduces bias
33. 33.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
35. 35.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) test on one group only (d) skip testing
36. 36.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
37. 37.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data

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