AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 181 · 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) add varied examples (b) ignore complaints (c) test on many groups (d) fix wrong labels
2. 2.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
3. 3.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
4. 4.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
5. 5.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
6. 6.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
7. 7.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) gives a likely answer (d) uses rules people wrote
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
9. 9.Which of these is not AI? (a) a voice assistant (b) an image generator (c) video suggestions (d) a printed timetable
10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
11. 11.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
14. 14.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) the trained program (d) naming a new fruit photo
15. 15.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
16. 16.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) cooking (d) printing
17. 17.🔍 Which is the odd one out? (a) a voice assistant (b) voice typing (c) a spam filter (d) a light switch
18. 18.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) voice typing (d) a spam filter
19. 19.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) voice typing (b) video suggestions (c) a spam filter (d) a stopwatch
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
22. 22.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
23. 23.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
25. 25.Which of these is not AI? (a) a torch (b) photos grouped by face (c) a spam filter (d) a voice assistant
26. 26.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) follows fixed rules (d) gives a likely answer
27. 27.🔍 Which is the odd one out? (a) inventing a recipe (b) writing a new poem (c) suggesting a video (d) composing a new tune
28. 28.🔍 Which is the odd one out? (a) unlocking with a face (b) sorting photos by face (c) making up a story (d) predicting rain
29. 29.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
30. 30.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) labels added at random (d) correct labels
32. 32.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) learns from examples (d) follows fixed rules
33. 33.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
34. 34.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
35. 35.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
36. 36.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
37. 37.True or false: “labelled fruit photos” is training data. (a) False (b) True
38. 38.Which of these describes how AI works? (a) does exactly as coded (b) spots patterns in data (c) never learns from data (d) follows fixed rules
39. 39.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
40. 40.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False

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