AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 161 · 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: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
3. 3.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) test on many groups (d) balance the data
4. 4.True or false: “test on many groups” helps reduce bias. (a) False (b) True
5. 5.Which of these helps reduce bias? (a) add varied examples (b) ignore complaints (c) use one group only (d) copy old unfair choices
6. 6.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
7. 7.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) balance the data
8. 8.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
9. 9.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
10. 10.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
11. 11.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) ask different people (d) add more of the same
12. 12.True or false: “skip testing” helps reduce bias. (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) test on many groups (d) ask different people
14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
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 with doctors of every gender? (a) one-sided data (b) balanced data
17. 17.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
18. 18.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
19. 19.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
20. 20.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
21. 21.Which of these adds to bias? (a) test on many groups (b) test on one group only (c) check who is missing (d) balance the data
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
23. 23.True or false: “skip testing” adds to bias. (a) False (b) True
24. 24.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
25. 25.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) ask different people (d) skip testing
26. 26.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
28. 28.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
29. 29.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
30. 30.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
31. 31.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
32. 32.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
33. 33.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) ignore complaints
34. 34.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
36. 36.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
38. 38.Which of these adds to bias? (a) add varied examples (b) use one group only (c) ask different people (d) balance the data
39. 39.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
40. 40.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False

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