AI Bias Worksheet for Kids
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.
NameDateTime takenScore ___ / 40
- 1.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
- 2.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
- 3.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) ignore complaints (d) test on one group only
- 4.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
- 5.True or false: “check who is missing” adds to bias. (a) False (b) True
- 6.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
- 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
- 8.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) ignore complaints (d) copy old unfair choices
- 9.Which of these adds to bias? (a) fix wrong labels (b) skip testing (c) ask different people (d) balance the data
- 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
- 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) few child voices in data (d) children speak too fast
- 12.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
- 13.Which of these helps reduce bias? (a) ask different people (b) test on one group only (c) ignore complaints (d) use one group only
- 14.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) use one group only (d) add more of the same
- 15.True or false: “test on many groups” helps reduce bias. (a) True (b) False
- 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
- 17.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
- 18.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) use one group only (d) add varied examples
- 19.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
- 20.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
- 21.True or false: “add more of the same” helps reduce bias. (a) True (b) False
- 22.True or false: “ask different people” adds to bias. (a) True (b) False
- 23.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
- 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
- 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
- 26.Which of these adds to bias? (a) test on many groups (b) ask different people (c) check who is missing (d) test on one group only
- 27.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 28.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) add more of the same (d) check who is missing
- 29.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) add varied examples
- 30.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
- 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
- 32.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) use one group only (d) balance the data
- 33.🖼️ 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
- 34.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on one group only (d) ask different people
- 35.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) add more of the same (d) test on many groups
- 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
- 37.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
- 38.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
- 39.True or false: “ask different people” helps reduce bias. (a) True (b) False
- 40.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) skip testing (d) check who is missing
Answer key
- more varied data
- reduces bias
- test on many groups
- False
- False
- True
- balanced data
- balance the data
- skip testing
- adds to bias
- few child voices in data
- False
- ask different people
- check who is missing
- True
- balanced data
- adds to bias
- use one group only
- its training data
- reduces bias
- False
- False
- False
- one-sided data
- False
- test on one group only
- one-sided data
- check who is missing
- add varied examples
- adds to bias
- one-sided data
- use one group only
- bias from data
- test on one group only
- test on many groups
- balanced data
- adds to bias
- reduces bias
- True
- skip testing
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students