AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 723 · 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.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
2. 2.🔍 Which is the odd one out? (a) photos in many lights (b) testing on training data (c) blurry, unclear photos (d) only one kind of example
3. 3.🔍 Which is the odd one out? (a) spotting spam (b) writing a new poem (c) making up a story (d) drafting a letter
4. 4.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) printing (d) cooking
5. 5.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
6. 6.Which of these describes how AI works? (a) gives a likely answer (b) uses rules people wrote (c) one set rule per case (d) follows fixed rules
7. 7.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
8. 8.🔍 Which is the odd one out? (a) a digital watch (b) face unlock on a phone (c) a voice assistant (d) video suggestions
9. 9.True or false: “checking labels twice” is good for training a model. (a) False (b) True
10. 10.Which of these uses AI? (a) a printed timetable (b) a voice assistant (c) a kitchen weighing scale (d) a stopwatch
11. 11.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
13. 13.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
14. 14.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
15. 15.True or false: “the learned patterns” is the model. (a) True (b) False
16. 16.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
17. 17.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) photos in many lights (d) blurry, unclear photos
18. 18.🔍 Which is the odd one out? (a) unlocking with a face (b) predicting rain (c) reading number plates (d) composing a new tune
19. 19.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recognising (b) predicting (c) generating (d) recommending
20. 20.Which of these is generative AI (it makes something new)? (a) composing a new tune (b) predicting rain (c) reading number plates (d) sorting photos by face
21. 21.True or false: an image generator drawing a robot from a sentence is AI predicting something. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) a calculator (b) voice typing (c) a light switch (d) a digital watch
23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
24. 24.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a spam filter (d) a basic calculator
25. 25.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) skip testing (d) add varied examples
26. 26.True or false: “ignore complaints” adds to bias. (a) True (b) False
27. 27.Which of these helps reduce bias? (a) test on many groups (b) use one group only (c) test on one group only (d) copy old unfair choices
28. 28.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
29. 29.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) music or sound (b) an image (c) text
30. 30.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
31. 31.Which of these is good for training a model? (a) blurry, unclear photos (b) labels added at random (c) clear, sharp examples (d) only one kind of example
32. 32.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
33. 33.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
34. 34.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a password (c) a backup (d) a hallucination
35. 35.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
36. 36.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) flagging a new email (d) the trained program
37. 37.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will be perfect (d) it will shut down
38. 38.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
39. 39.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
40. 40.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI

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