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