AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 188 · 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: add more of the same? (a) adds to bias (b) reduces bias
2. 2.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
3. 3.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
4. 4.Which of these describes how AI works? (a) gives a likely answer (b) one set rule per case (c) follows fixed rules (d) does exactly as coded
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
6. 6.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
7. 7.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it has a screen (c) it is always right (d) it uses electricity
8. 8.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) True (b) False
9. 9.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) music or sound (c) an image
10. 10.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) add more of the same (d) skip testing
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
12. 12.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
13. 13.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI always checks facts (d) AI can make up facts
14. 14.Which of these describes how a normal program works? (a) improves with more data (b) spots patterns in data (c) handles unseen examples (d) follows fixed rules
15. 15.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
16. 16.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
18. 18.True or false: “flagging a new email” is a prediction. (a) True (b) False
19. 19.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
20. 20.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
21. 21.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
22. 22.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
23. 23.🔍 Which is the odd one out? (a) turning speech to text (b) drafting a letter (c) making up a story (d) inventing a recipe
24. 24.🔍 Which is the odd one out? (a) AI always checks facts (b) AI learns from data (c) confident means correct (d) AI has real feelings
25. 25.🔍 Which is the odd one out? (a) AI always checks facts (b) AI is never wrong (c) AI can be wrong (d) AI has real feelings
26. 26.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
27. 27.🔍 Which is the odd one out? (a) copies of one photo (b) very few examples (c) checking labels twice (d) blurry, unclear photos
28. 28.Which of these is not AI? (a) face unlock on a phone (b) a map predicting traffic (c) a voice assistant (d) a doorbell
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
30. 30.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
32. 32.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
33. 33.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) an app translating signs (b) a digital watch (c) a voice assistant (d) an AI chatbot
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
36. 36.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
37. 37.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the price (d) the font size
38. 38.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) past weather records (d) typing a new spoken word
39. 39.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) text (c) music or sound
40. 40.Which of these is not AI? (a) video suggestions (b) a printed timetable (c) voice typing (d) a voice assistant

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