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.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
- 2.Which of these adds to bias? (a) add varied examples (b) skip testing (c) ask different people (d) check who is missing
- 3.Which of these describes how a normal program works? (a) spots patterns in data (b) does exactly as coded (c) makes a best guess (d) handles unseen examples
- 4.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) ignore complaints (d) fix wrong labels
- 5.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) naming a new leaf (d) naming a new fruit photo
- 6.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
- 7.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
- 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
- 9.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the AI (c) trust the textbook (d) stop studying
- 10.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
- 11.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) improves with more data (d) same steps every time
- 12.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
- 13.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
- 14.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
- 15.Which of these is generative AI (it makes something new)? (a) making up a story (b) sorting photos by face (c) spotting a sick leaf (d) predicting rain
- 16.True or false: “fix wrong labels” adds to bias. (a) True (b) False
- 17.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) AI knows everything (d) AI copies data patterns
- 18.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) printing (d) cooking
- 19.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) music or sound (c) text
- 20.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) an image (c) music or sound
- 21.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
- 22.🖼️ 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
- 23.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) an image (c) text
- 24.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
- 25.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
- 26.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
- 27.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) recorded spoken words (d) naming a new leaf
- 28.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
- 29.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) ignore complaints
- 30.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it learns from examples (d) it has a screen
- 31.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
- 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
- 33.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
- 34.Which of these is a myth about AI? (a) AI learns from data (b) AI always checks facts (c) AI can make up facts (d) AI answers need checking
- 35.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) charges batteries (d) only stores files
- 36.Which of these describes how AI works? (a) follows fixed rules (b) does exactly as coded (c) makes a best guess (d) one set rule per case
- 37.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
- 38.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
- 39.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
- 40.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) test on many groups (d) check who is missing
Answer key
- text
- skip testing
- does exactly as coded
- fix wrong labels
- labelled fruit photos
- True
- labelled fruit photos
- spam
- trust the textbook
- no, it can be wrong
- same steps every time
- True
- data, model, prediction
- True
- making up a story
- False
- AI copies data patterns
- recommending
- an image
- an image
- False
- bias from data
- music or sound
- good for training
- the trained program
- bad for training
- naming a new leaf
- True
- test on many groups
- it learns from examples
- False
- one-sided data
- True
- AI always checks facts
- makes new content
- makes a best guess
- True
- learn from data
- True
- skip testing
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students