AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 104 · 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: “long answers are true” is a fact about AI. (a) False (b) True
2. 2.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) recognising (c) predicting (d) recommending
3. 3.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
4. 4.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
5. 5.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) the Moon (d) nobody at all
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
7. 7.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
8. 8.Which of these is not AI? (a) video suggestions (b) an image generator (c) an app translating signs (d) a fan regulator
9. 9.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
10. 10.Which of these describes how AI works? (a) improves with more data (b) same steps every time (c) follows fixed rules (d) one set rule per case
11. 11.🔍 Which is the odd one out? (a) turning speech to text (b) composing a new tune (c) suggesting a video (d) sorting photos by face
12. 12.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
13. 13.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) asks a person (d) predicts likely words
14. 14.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
16. 16.🔍 Which is the odd one out? (a) a doorbell (b) a fan regulator (c) a light switch (d) face unlock on a phone
17. 17.🔍 Which is the odd one out? (a) a map predicting traffic (b) an app translating signs (c) voice typing (d) a stopwatch
18. 18.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recommending (b) predicting (c) recognising (d) generating
19. 19.🎨 An image generator makes a picture from… (a) a text description (b) a phone number (c) your password (d) the weather
20. 20.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
21. 21.🔍 Which is the odd one out? (a) AI can make up facts (b) AI has real feelings (c) long answers are true (d) confident means correct
22. 22.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
23. 23.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) a calculator (b) face unlock on a phone (c) photos grouped by face (d) an app translating signs
25. 25.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
26. 26.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) predicting (b) recommending (c) recognising (d) generating
27. 27.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) generating (c) predicting (d) recommending
28. 28.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it learns from examples (d) it has a screen
29. 29.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) recorded spoken words (d) what training builds
30. 30.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
31. 31.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) copy old unfair choices (d) ignore complaints
32. 32.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI learns from data (d) AI is never wrong
33. 33.True or false: “naming a new leaf” is the model. (a) False (b) True
34. 34.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) drafting a letter (c) drawing a new picture (d) sorting photos by face
35. 35.True or false: “wrong labels” is good for training a model. (a) True (b) False
36. 36.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
37. 37.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
39. 39.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) False (b) True
40. 40.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts

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