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