AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 361 · 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.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
2. 2.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) test on one group only (d) use one group only
3. 3.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) check who is missing (d) ignore complaints
4. 4.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
6. 6.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
7. 7.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) test on one group only (d) fix wrong labels
9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
10. 10.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
11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
12. 12.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) fix wrong labels (d) ignore complaints
14. 14.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) ignore complaints (d) skip testing
15. 15.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
16. 16.True or false: “check who is missing” helps reduce bias. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) test on many groups (d) add varied examples
18. 18.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
19. 19.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
20. 20.True or false: “add more of the same” helps reduce bias. (a) True (b) False
21. 21.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) check who is missing (d) balance the data
22. 22.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
23. 23.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
24. 24.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
25. 25.True or false: “ask different people” adds to bias. (a) True (b) False
26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
27. 27.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) add varied examples (d) use one group only
28. 28.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.Which of these adds to bias? (a) test on many groups (b) use one group only (c) balance the data (d) check who is missing
30. 30.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) ignore complaints (d) test on one group only
31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
32. 32.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) add varied examples (d) check who is missing
33. 33.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) check who is missing
35. 35.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
36. 36.True or false: “skip testing” helps reduce bias. (a) True (b) False
37. 37.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
40. 40.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data

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