AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 836 · 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 is the odd one out? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) add varied examples
2. 2.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) blurry, unclear photos (d) photos in many lights
3. 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) creating a cartoon (c) predicting rain (d) writing quiz questions
4. 4.🏷️ 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
5. 5.🔍 Which is the odd one out? (a) drawing a new picture (b) unlocking with a face (c) reading number plates (d) sorting photos by face
6. 6.🔍 Which is the odd one out? (a) video suggestions (b) a stopwatch (c) an app translating signs (d) photos grouped by face
7. 7.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
9. 9.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
10. 10.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) asks a person (d) copies one website
11. 11.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI copies data patterns (c) AI can be wrong (d) AI is never wrong
12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) writing a new poem (c) inventing a recipe (d) spotting a sick leaf
13. 13.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) same steps every time (d) spots patterns in data
14. 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) unlocking with a face (b) drafting a letter (c) drawing a new picture (d) creating a cartoon
15. 15.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
16. 16.Which of these is a prediction? (a) the trained program (b) past weather records (c) tomorrow’s rain guess (d) the learned patterns
17. 17.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
18. 18.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
19. 19.Which of these is a myth about AI? (a) AI answers need checking (b) long answers are true (c) AI can mix up numbers (d) AI can make up facts
20. 20.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
21. 21.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
22. 22.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
23. 23.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) an image (c) music or sound
24. 24.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) learns from examples (d) follows fixed rules
25. 25.True or false: “never learns from data” describes how AI works. (a) True (b) False
26. 26.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) recommending (c) generating (d) predicting
27. 27.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
28. 28.Which of these is a fact about AI? (a) confident means correct (b) AI always checks facts (c) AI knows everything (d) AI copies data patterns
29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
30. 30.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
31. 31.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
32. 32.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
33. 33.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
34. 34.Which of these uses AI? (a) a stopwatch (b) a doorbell (c) a light switch (d) photos grouped by face
35. 35.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
36. 36.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
37. 37.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
38. 38.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) a calculator (b) a voice assistant (c) photos grouped by face (d) video suggestions
40. 40.Which of these is training data? (a) the trained program (b) flagging a new email (c) past weather records (d) naming a new fruit photo

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