AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 956 · 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 generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) reading number plates (d) making up a story
2. 2.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a backup (c) a password (d) a hallucination
3. 3.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
4. 4.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) examples of every type (d) only one kind of example
5. 5.True or false: a book app suggesting a story like your last one is AI recognising something. (a) True (b) False
6. 6.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
7. 7.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
8. 8.🔍 Which is the odd one out? (a) a fan regulator (b) photos grouped by face (c) a light switch (d) a microwave timer
9. 9.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
10. 10.🎨 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
11. 11.🏷️ 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
12. 12.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
14. 14.True or false: “a story about a brave ant” asks for an image. (a) True (b) False
15. 15.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) photos in many lights (d) copies of one photo
16. 16.Which of these is bad for training a model? (a) correct labels (b) very few examples (c) clear, sharp examples (d) checking labels twice
17. 17.✨ What does generative AI do? (a) only adds numbers (b) charges batteries (c) only stores files (d) makes new content
18. 18.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
19. 19.Which of these is a myth about AI? (a) AI answers need checking (b) AI can make up facts (c) long answers are true (d) AI learns from data
20. 20.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
21. 21.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
22. 22.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
23. 23.Which of these describes how a normal program works? (a) never learns from data (b) gives a likely answer (c) learns from examples (d) improves with more data
24. 24.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) writing a new poem (d) predicting rain
25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drawing a new picture (c) composing a new tune (d) turning speech to text
26. 26.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) ignore complaints (d) skip testing
27. 27.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
28. 28.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will shut down (d) it will turn yellow
29. 29.Which of these uses AI? (a) a doorbell (b) an app translating signs (c) a microwave timer (d) a kitchen weighing scale
30. 30.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) labels added at random (d) correct labels
31. 31.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) blurry, unclear photos (d) very few examples
32. 32.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) asks a person (d) copies one website
33. 33.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
34. 34.🔍 Which is the odd one out? (a) unlocking with a face (b) composing a new tune (c) spotting spam (d) reading number plates
35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
36. 36.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
37. 37.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting a sick leaf (c) creating a cartoon (d) turning speech to text
38. 38.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
39. 39.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias

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