AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 277 · 40 questions

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.

1. 1.🔍 Which is the odd one out? (a) unlocking with a face (b) composing a new tune (c) predicting rain (d) sorting photos by face
2. 2.True or false: turning your spoken words into typed text is AI generating something new. (a) False (b) True
3. 3.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
4. 4.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
5. 5.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
6. 6.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
7. 7.Which of these adds to bias? (a) ask different people (b) add varied examples (c) test on one group only (d) check who is missing
8. 8.Which of these is a fact about AI? (a) AI has real feelings (b) AI answers need checking (c) AI always checks facts (d) AI knows everything
9. 9.🎨 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) text (c) music or sound
10. 10.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
11. 11.Which of these describes how AI works? (a) uses rules people wrote (b) follows fixed rules (c) does exactly as coded (d) learns from examples
12. 12.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
13. 13.True or false: “it has a neat layout” is a real way to check an AI answer. (a) True (b) False
14. 14.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
15. 15.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
18. 18.True or false: “balance the data” adds to bias. (a) True (b) False
19. 19.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
20. 20.Which of these is a myth about AI? (a) AI answers need checking (b) AI is never wrong (c) AI copies data patterns (d) AI can be wrong
21. 21.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
22. 22.True or false: “recorded spoken words” is a prediction. (a) True (b) False
23. 23.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) new data for testing (d) labels added at random
24. 24.Which of these is a myth about AI? (a) AI answers need checking (b) confident means correct (c) AI copies data patterns (d) AI can mix up numbers
25. 25.True or false: “use one group only” adds to bias. (a) False (b) True
26. 26.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
28. 28.Which of these describes how AI works? (a) makes a best guess (b) same steps every time (c) never learns from data (d) does exactly as coded
29. 29.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
30. 30.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
31. 31.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) fix wrong labels (d) copy old unfair choices
32. 32.🔍 Which is the odd one out? (a) AI always checks facts (b) AI has real feelings (c) long answers are true (d) AI learns from data
33. 33.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI learns from data (d) long answers are true
34. 34.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
35. 35.True or false: “add more of the same” adds to bias. (a) True (b) False
36. 36.🌍 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
37. 37.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) ask it to hurry (c) check it on paper (d) never do maths
38. 38.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
40. 40.True or false: “correct labels” is good for training a model. (a) True (b) False

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students