AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 992 · 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 handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
2. 2.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
3. 3.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
5. 5.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
6. 6.True or false: “confident means correct” is a myth about AI. (a) False (b) True
7. 7.Which of these describes how AI works? (a) makes a best guess (b) uses rules people wrote (c) does exactly as coded (d) follows fixed rules
8. 8.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
9. 9.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
10. 10.🤖 What does AI stand for? (a) app installer (b) actual information (c) automatic internet (d) artificial intelligence
11. 11.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
12. 12.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
13. 13.🔍 Which is the odd one out? (a) photos grouped by face (b) a torch (c) a light switch (d) a printed timetable
14. 14.True or false: “ask different people” adds to bias. (a) True (b) False
15. 15.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
16. 16.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) look in your textbook (d) pick a lucky number
17. 17.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
18. 18.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) reading number plates (c) creating a cartoon (d) drawing a new picture
19. 19.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can make up facts (c) AI learns from data (d) AI is never wrong
20. 20.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
21. 21.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
22. 22.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) creating a cartoon (c) predicting rain (d) sorting photos by face
23. 23.Which of these is good for training a model? (a) many varied examples (b) only one kind of example (c) very few examples (d) blurry, unclear photos
24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
25. 25.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
26. 26.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
27. 27.Which of these is a myth about AI? (a) AI can make up facts (b) AI copies data patterns (c) AI knows everything (d) AI answers need checking
28. 28.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
29. 29.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
30. 30.Which of these uses AI? (a) a kitchen weighing scale (b) a microwave timer (c) voice typing (d) a digital watch
31. 31.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) share it online (d) trust the AI
33. 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
34. 34.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
35. 35.True or false: “labelled fruit photos” is the model. (a) True (b) False
36. 36.Which of these is bad for training a model? (a) blurry, unclear photos (b) examples of every type (c) correct labels (d) checking labels twice
37. 37.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) unlocking with a face (c) composing a new tune (d) inventing a recipe
38. 38.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
39. 39.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words

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