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