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