AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 969 · 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 a fact about AI? (a) AI is never wrong (b) AI can be wrong (c) AI knows everything (d) long answers are true
2. 2.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
3. 3.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
4. 4.🔍 Which is the odd one out? (a) confident means correct (b) AI can be wrong (c) AI has real feelings (d) AI is never wrong
5. 5.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) only one kind of example (d) correct labels
6. 6.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) blurry, unclear photos (d) photos in many lights
7. 7.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
8. 8.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
9. 9.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) skip testing (d) add varied examples
10. 10.🤖 Who builds and trains AI systems? (a) the weather (b) nobody at all (c) the Moon (d) people
11. 11.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
12. 12.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.Which of these is not AI? (a) a digital watch (b) an image generator (c) photos grouped by face (d) face unlock on a phone
14. 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
15. 15.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) drawing a new picture (c) unlocking with a face (d) sorting photos by face
16. 16.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
18. 18.Which of these is generative AI (it makes something new)? (a) reading number plates (b) spotting a sick leaf (c) unlocking with a face (d) making up a story
19. 19.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
20. 20.Which of these describes how a normal program works? (a) same steps every time (b) spots patterns in data (c) improves with more data (d) makes a best guess
21. 21.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
22. 22.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) labelled fruit photos (d) what training builds
23. 23.True or false: an AI tool making a brand-new tune is AI predicting something. (a) True (b) False
24. 24.Which of these is bad for training a model? (a) blurry, unclear photos (b) many varied examples (c) clear, sharp examples (d) checking labels twice
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
26. 26.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
27. 27.True or false: “balance the data” adds to bias. (a) True (b) False
28. 28.Which of these uses AI? (a) a kitchen weighing scale (b) a microwave timer (c) a digital watch (d) face unlock on a phone
29. 29.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
30. 30.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image
31. 31.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
32. 32.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
34. 34.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) one set rule per case (d) spots patterns in data
35. 35.Which of these describes how AI works? (a) same steps every time (b) spots patterns in data (c) one set rule per case (d) follows fixed rules
36. 36.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
37. 37.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
38. 38.True or false: “recorded spoken words” is training data. (a) True (b) False
39. 39.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) share it online (d) trust the textbook
40. 40.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) examples of every type (d) only one kind of example

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