AI for Kids Worksheet: Part 1 Test
AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.
NameDateTime takenScore ___ / 40
- 1.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
- 2.True or false: a phone unlocking when it sees your face is AI generating something new. (a) False (b) True
- 3.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
- 4.Which of these is good for training a model? (a) many varied examples (b) very few examples (c) blurry, unclear photos (d) only one kind of example
- 5.Which of these describes how a normal program works? (a) never learns from data (b) handles unseen examples (c) gives a likely answer (d) spots patterns in data
- 6.True or false: “balance the data” adds to bias. (a) False (b) True
- 7.Which of these describes how a normal program works? (a) makes a best guess (b) improves with more data (c) same steps every time (d) learns from examples
- 8.True or false: “typing a new spoken word” is the model. (a) False (b) True
- 9.🔍 Which is the odd one out? (a) a calculator (b) an app translating signs (c) face unlock on a phone (d) an image generator
- 10.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) test on many groups
- 11.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
- 12.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
- 13.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
- 14.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) ignore complaints (d) use one group only
- 15.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
- 16.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
- 17.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
- 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
- 19.🔍 Which is the odd one out? (a) inventing a recipe (b) suggesting a video (c) unlocking with a face (d) reading number plates
- 20.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
- 21.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) check who is missing (d) test on one group only
- 22.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
- 23.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) add varied examples (d) ignore complaints
- 24.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
- 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
- 26.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
- 27.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) forget everything (d) better at its task
- 28.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
- 29.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
- 30.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
- 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
- 32.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) False (b) True
- 33.Which of these is generative AI (it makes something new)? (a) inventing a recipe (b) reading number plates (c) sorting photos by face (d) suggesting a video
- 34.Which of these is not AI? (a) a stopwatch (b) an app translating signs (c) face unlock on a phone (d) photos grouped by face
- 35.True or false: “check who is missing” adds to bias. (a) False (b) True
- 36.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
- 37.True or false: “a drawing of a cat on the Moon” asks for an image. (a) True (b) False
- 38.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) add varied examples (d) ask different people
- 39.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
- 40.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) makes new content (d) charges batteries
Answer key
- uses AI
- False
- not AI
- many varied examples
- never learns from data
- False
- same steps every time
- False
- a calculator
- test on many groups
- a fact
- True
- a fact
- ask different people
- an image
- False
- more varied data
- a prediction
- inventing a recipe
- makes something new
- test on one group only
- True
- add varied examples
- balanced data
- 500 labelled leaf photos
- False
- better at its task
- needs AI (learning)
- True
- not AI
- spam
- False
- inventing a recipe
- a stopwatch
- False
- False
- True
- use one group only
- True
- makes new content
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students