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: check who is missing? (a) reduces bias (b) adds to bias
- 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
- 3.True or false: “test on many groups” adds to bias. (a) False (b) True
- 4.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
- 5.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
- 6.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) copy old unfair choices (d) check who is missing
- 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
- 8.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
- 9.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
- 10.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
- 11.True or false: “test on one group only” adds to bias. (a) True (b) False
- 12.True or false: “skip testing” helps reduce bias. (a) False (b) True
- 13.Which of these helps reduce bias? (a) add more of the same (b) fix wrong labels (c) use one group only (d) test on one group only
- 14.True or false: “check who is missing” helps reduce bias. (a) False (b) True
- 15.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 16.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) copy old unfair choices (d) skip testing
- 17.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) fix wrong labels (d) balance the data
- 18.True or false: “ask different people” adds to bias. (a) True (b) False
- 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
- 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
- 21.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
- 22.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
- 23.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
- 24.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) add more of the same (d) copy old unfair choices
- 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
- 26.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
- 27.🗣️ 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
- 28.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
- 29.True or false: “add more of the same” adds to bias. (a) True (b) False
- 30.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) check who is missing (d) use one group only
- 31.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) check who is missing (d) use one group only
- 32.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) check who is missing (d) add varied examples
- 33.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
- 34.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
- 35.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on one group only (d) test on many groups
- 36.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) test on many groups (d) copy old unfair choices
- 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
- 38.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
- 39.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
- 40.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
Answer key
- reduces bias
- one-sided data
- False
- one-sided data
- balanced data
- copy old unfair choices
- balanced data
- one-sided data
- False
- adds to bias
- True
- False
- fix wrong labels
- True
- one-sided data
- check who is missing
- test on one group only
- False
- bias from data
- balanced data
- False
- balanced data
- its training data
- add varied examples
- reduces bias
- True
- few child voices in data
- False
- True
- check who is missing
- use one group only
- skip testing
- reduces bias
- more varied data
- test on many groups
- test on many groups
- False
- True
- True
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students