AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 244 · 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: ignore complaints? (a) adds to bias (b) reduces bias
2. 2.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) add more of the same (d) fix wrong labels
3. 3.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
4. 4.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) balance the data (d) fix wrong labels
5. 5.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) skip testing (d) use one group only
6. 6.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
8. 8.Which of these adds to bias? (a) add more of the same (b) check who is missing (c) balance the data (d) ask different people
9. 9.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
10. 10.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
12. 12.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) skip testing (d) test on many groups
13. 13.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on many groups (d) ignore complaints
15. 15.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
16. 16.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
18. 18.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
19. 19.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) test on many groups (d) ask different people
20. 20.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
21. 21.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) balance the data
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 helps reduce bias? (a) skip testing (b) check who is missing (c) ignore complaints (d) use one group only
25. 25.True or false: “ask different people” helps reduce bias. (a) False (b) True
26. 26.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) ask different people
28. 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
29. 29.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) use one group only
30. 30.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
31. 31.🗣️ 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) children speak too fast (d) the phone was new
32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
33. 33.Which of these adds to bias? (a) skip testing (b) fix wrong labels (c) balance the data (d) test on many groups
34. 34.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) add varied examples (d) ignore complaints
35. 35.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) use one group only (d) ask different people
36. 36.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
37. 37.True or false: “test on one group only” adds to bias. (a) False (b) True
38. 38.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) use one group only (d) ignore complaints
40. 40.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) copy old unfair choices (d) balance the data

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