AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 669 · 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 describes how a normal program works? (a) improves with more data (b) spots patterns in data (c) learns from examples (d) same steps every time
2. 2.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
3. 3.Which of these is a fact about AI? (a) long answers are true (b) AI always checks facts (c) AI answers need checking (d) confident means correct
4. 4.True or false: “learns from examples” describes how AI works. (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) writing a new poem (b) spotting spam (c) drafting a letter (d) creating a cartoon
6. 6.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
7. 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
8. 8.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
9. 9.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
10. 10.🔍 Which is the odd one out? (a) testing on training data (b) checking labels twice (c) labels added at random (d) very few examples
11. 11.🤖 What does AI stand for? (a) app installer (b) actual information (c) automatic internet (d) artificial intelligence
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
13. 13.🎨 An image generator makes a picture from… (a) a text description (b) the weather (c) a phone number (d) your password
14. 14.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
15. 15.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, just like us (c) yes, it gets sad (d) no, it finds patterns
16. 16.Which of these adds to bias? (a) check who is missing (b) skip testing (c) test on many groups (d) fix wrong labels
17. 17.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) a list of rules only (d) one single photo
18. 18.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) confident means correct (d) AI answers need checking
19. 19.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
20. 20.Which of these describes how a normal program works? (a) makes a best guess (b) follows fixed rules (c) handles unseen examples (d) improves with more data
21. 21.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
22. 22.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
23. 23.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) many varied examples (d) very few examples
24. 24.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) generating (c) predicting (d) recognising
25. 25.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) fix wrong labels (d) use one group only
26. 26.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI can make up facts (c) AI knows everything (d) AI answers need checking
27. 27.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
28. 28.📚 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
29. 29.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
30. 30.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
31. 31.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
32. 32.Which of these is training data? (a) naming a new fruit photo (b) recorded spoken words (c) typing a new spoken word (d) the learned patterns
33. 33.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
34. 34.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
35. 35.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
36. 36.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
37. 37.True or false: “AI can mix up numbers” is a fact about AI. (a) True (b) False
38. 38.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
39. 39.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias

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