AI for Kids Worksheet: Part 1 Test
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.
NameDateTime takenScore ___ / 40
- 1.🔍 Which is the odd one out? (a) photos grouped by face (b) a stopwatch (c) a torch (d) a printed timetable
- 2.🔍 Which is the odd one out? (a) labels added at random (b) very few examples (c) photos in many lights (d) wrong labels
- 3.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI answers need checking (c) AI can be wrong (d) long answers are true
- 4.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
- 5.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
- 6.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
- 7.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI learns from data (d) AI always checks facts
- 8.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
- 9.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
- 10.True or false: “add varied examples” helps reduce bias. (a) True (b) False
- 11.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
- 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) composing a new tune (c) unlocking with a face (d) drafting a letter
- 13.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
- 14.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
- 15.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) use one group only (d) balance the data
- 16.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
- 17.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) False (b) True
- 18.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on one group only (d) test on many groups
- 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
- 20.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
- 21.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) an image (c) text
- 22.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) only one kind of example (d) photos in many lights
- 23.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
- 24.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
- 25.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
- 26.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
- 27.True or false: an online shop showing “you may also like” is AI recognising something. (a) False (b) True
- 28.Which of these is bad for training a model? (a) correct labels (b) very few examples (c) examples of every type (d) checking labels twice
- 29.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) an image (c) text
- 30.Which of these uses AI? (a) a digital watch (b) an AI chatbot (c) a fan regulator (d) a calculator
- 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) composing a new tune (c) suggesting a video (d) writing quiz questions
- 32.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
- 33.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) sorting photos by face (c) reading number plates (d) inventing a recipe
- 34.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
- 35.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
- 36.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) music or sound (c) text
- 37.🗣️ 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) few child voices in data (d) the phone was new
- 38.True or false: “skip testing” helps reduce bias. (a) False (b) True
- 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
- 40.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) labels added at random (d) correct labels
Answer key
- photos grouped by face
- photos in many lights
- long answers are true
- no, it finds patterns
- needs AI (learning)
- a fact
- AI always checks facts
- True
- False
- True
- needs AI (learning)
- unlocking with a face
- no, it can be wrong
- uses AI
- balance the data
- a fact
- True
- test on one group only
- reduces bias
- good for training
- an image
- photos in many lights
- False
- False
- False
- good for training
- False
- very few examples
- music or sound
- an AI chatbot
- suggesting a video
- a simple rule is enough
- inventing a recipe
- False
- True
- an image
- few child voices in data
- False
- one-sided data
- labels added at random
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students