AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 67 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
2. 2.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
3. 3.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
4. 4.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) suggesting a video (c) drawing a new picture (d) sorting photos by face
5. 5.Which of these is a myth about AI? (a) AI learns from data (b) AI can be wrong (c) AI copies data patterns (d) long answers are true
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
8. 8.✍️ How does an AI chatbot write its replies? (a) asks a person (b) uses magic (c) copies one website (d) predicts likely words
9. 9.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
10. 10.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
11. 11.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) ignore complaints (d) skip testing
12. 12.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a hallucination (d) a summary
13. 13.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
14. 14.True or false: “past weather records” is training data. (a) True (b) False
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
17. 17.Which of these describes how a normal program works? (a) handles unseen examples (b) improves with more data (c) spots patterns in data (d) follows fixed rules
18. 18.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) cooking (d) charging
19. 19.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
20. 20.🔍 Which is the odd one out? (a) photos grouped by face (b) a printed timetable (c) voice typing (d) a map predicting traffic
21. 21.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
22. 22.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
23. 23.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) generating (c) recommending (d) predicting
24. 24.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
25. 25.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
26. 26.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) AI can make up facts (d) AI is never wrong
27. 27.🔍 Which is the odd one out? (a) writing a new poem (b) reading number plates (c) writing quiz questions (d) drafting a letter
28. 28.Which of these describes how AI works? (a) same steps every time (b) never learns from data (c) one set rule per case (d) handles unseen examples
29. 29.True or false: “same steps every time” describes how AI works. (a) True (b) False
30. 30.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
31. 31.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
32. 32.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
33. 33.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) drawing (c) sleeping (d) singing
34. 34.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) recorded spoken words (d) past weather records
35. 35.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can mix up numbers (c) AI always checks facts (d) AI answers need checking
36. 36.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
37. 37.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
38. 38.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) no, it finds patterns (c) yes, it gets sad (d) only on weekends
39. 39.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) ask different people
40. 40.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough

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