AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 409 · 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 of these is NOT AI? (a) a spam filter (b) voice typing (c) a basic calculator (d) face unlock
2. 2.True or false: “a cartoon of a dancing elephant” asks for text. (a) False (b) True
3. 3.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) ignore complaints (d) use one group only
5. 5.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) predicting (d) drawing
6. 6.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) tomorrow’s rain guess (d) the learned patterns
7. 7.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) checking labels twice (d) very few examples
8. 8.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) drawing a new picture (c) inventing a recipe (d) reading number plates
9. 9.🔍 Which is the odd one out? (a) AI answers need checking (b) AI always checks facts (c) AI can mix up numbers (d) AI learns from data
10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
12. 12.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) copies of one photo (d) clear, sharp examples
13. 13.🤖 Who builds and trains AI systems? (a) people (b) the weather (c) nobody at all (d) the Moon
14. 14.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
15. 15.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) unlocking with a face (b) creating a cartoon (c) suggesting a video (d) sorting photos by face
17. 17.True or false: a car camera reading a speed sign is AI generating something new. (a) False (b) True
18. 18.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image
19. 19.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) test on one group only
21. 21.True or false: “labelled fruit photos” is training data. (a) False (b) True
22. 22.Which of these is a myth about AI? (a) AI can be wrong (b) AI answers need checking (c) AI copies data patterns (d) AI has real feelings
23. 23.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
24. 24.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
25. 25.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) add more of the same (d) ignore complaints
26. 26.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) many varied examples (d) very few examples
27. 27.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
28. 28.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
29. 29.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
30. 30.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) ignore complaints (d) copy old unfair choices
31. 31.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
32. 32.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
33. 33.Which of these is not AI? (a) a torch (b) a voice assistant (c) photos grouped by face (d) a spam filter
34. 34.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) predicting rain (c) creating a cartoon (d) writing a new poem
35. 35.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it uses electricity (d) it learns from examples
36. 36.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a prompt (d) a label
37. 37.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
38. 38.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
39. 39.True or false: “add more of the same” helps reduce bias. (a) False (b) True
40. 40.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) ask it to repeat (c) look in your textbook (d) guess

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