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