AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 476 · 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.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
3. 3.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
4. 4.🏷️ 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
5. 5.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) True (b) False
6. 6.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI can be wrong (c) AI answers need checking (d) confident means correct
7. 7.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
8. 8.Which of these is not AI? (a) a kitchen weighing scale (b) a voice assistant (c) photos grouped by face (d) a map predicting traffic
9. 9.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
10. 10.True or false: “one set rule per case” describes how AI works. (a) True (b) False
11. 11.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) generating (c) predicting (d) recommending
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
13. 13.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) wrong labels (d) correct labels
14. 14.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
15. 15.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
16. 16.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) many varied examples (d) only one kind of example
17. 17.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
18. 18.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
19. 19.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
20. 20.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
21. 21.Which of these adds to bias? (a) test on many groups (b) ask different people (c) test on one group only (d) check who is missing
22. 22.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
23. 23.Which of these is generative AI (it makes something new)? (a) spotting spam (b) unlocking with a face (c) composing a new tune (d) turning speech to text
24. 24.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
25. 25.True or false: “use one group only” adds to bias. (a) False (b) True
26. 26.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) use one group only
27. 27.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) text (c) music or sound
28. 28.True or false: “labels added at random” is good for training a model. (a) True (b) False
29. 29.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
30. 30.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI is never wrong (c) AI can make up facts (d) AI answers need checking
31. 31.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) new data for testing (d) examples of every type
32. 32.🔍 Which is the odd one out? (a) creating a cartoon (b) making up a story (c) suggesting a video (d) drafting a letter
33. 33.True or false: “handles unseen examples” describes how AI works. (a) False (b) True
34. 34.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
35. 35.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
36. 36.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
37. 37.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) no, it follows rules (d) yes, it can think
38. 38.Which of these adds to bias? (a) ask different people (b) add varied examples (c) check who is missing (d) use one group only
39. 39.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything
40. 40.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway

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