AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 702 · 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.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
3. 3.🔍 Which is the odd one out? (a) AI is never wrong (b) AI knows everything (c) AI answers need checking (d) AI always checks facts
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
5. 5.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
8. 8.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
9. 9.Which of these is a myth about AI? (a) AI learns from data (b) AI answers need checking (c) AI is never wrong (d) AI can mix up numbers
10. 10.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) predicting (c) recognising (d) generating
11. 11.True or false: “makes a best guess” describes how AI works. (a) False (b) True
12. 12.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a label (d) a prompt
13. 13.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
14. 14.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
15. 15.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
16. 16.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
17. 17.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) True (b) False
18. 18.True or false: “a soft lullaby melody” asks for music or sound. (a) True (b) False
19. 19.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
20. 20.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
21. 21.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) same steps every time (d) improves with more data
22. 22.🔍 Which is the odd one out? (a) predicting rain (b) reading number plates (c) drawing a new picture (d) spotting spam
23. 23.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) sleeping (d) drawing
24. 24.🔍 Which is the odd one out? (a) voice typing (b) a light switch (c) a stopwatch (d) a printed timetable
25. 25.Which of these uses AI? (a) an image generator (b) a microwave timer (c) a printed timetable (d) a light switch
26. 26.🔍 Which is the odd one out? (a) a microwave timer (b) a map predicting traffic (c) a calculator (d) a fan regulator
27. 27.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
28. 28.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) never do maths (c) ask it to hurry (d) copy it straight away
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
30. 30.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
31. 31.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) use one group only (d) balance the data
32. 32.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
33. 33.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
34. 34.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
35. 35.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
36. 36.True or false: recognising a bird from its song only needs a simple fixed rule. (a) True (b) False
37. 37.Which of these uses AI? (a) a microwave timer (b) a digital watch (c) a calculator (d) a spam filter
38. 38.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
39. 39.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
40. 40.Which of these is bad for training a model? (a) only one kind of example (b) many varied examples (c) clear, sharp examples (d) examples of every type

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