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 of these is not AI? (a) a spam filter (b) an app translating signs (c) a calculator (d) an image generator
- 2.🔍 Which is the odd one out? (a) drafting a letter (b) predicting rain (c) creating a cartoon (d) inventing a recipe
- 3.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
- 4.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
- 5.True or false: “naming a new fruit photo” is the model. (a) True (b) False
- 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will shut down (d) it will turn yellow
- 7.True or false: “AI can be wrong” is a myth about AI. (a) True (b) False
- 8.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
- 9.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
- 10.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
- 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
- 12.Which of these describes how AI works? (a) does exactly as coded (b) uses rules people wrote (c) same steps every time (d) gives a likely answer
- 13.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
- 14.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
- 15.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
- 16.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) suggesting a video (c) sorting photos by face (d) making up a story
- 17.🔍 Which is the odd one out? (a) AI has real feelings (b) AI knows everything (c) AI copies data patterns (d) AI always checks facts
- 18.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
- 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
- 20.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
- 21.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
- 22.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) fix wrong labels
- 23.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) uses magic (d) predicts likely words
- 24.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
- 25.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
- 26.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
- 27.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
- 28.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) fix wrong labels
- 29.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) handles unseen examples (d) never learns from data
- 30.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can be wrong (c) AI always checks facts (d) AI can make up facts
- 31.True or false: “labelled fruit photos” is training data. (a) False (b) True
- 32.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
- 33.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
- 34.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
- 35.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
- 36.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
- 37.Which of these describes how AI works? (a) one set rule per case (b) makes a best guess (c) never learns from data (d) follows fixed rules
- 38.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
- 39.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
- 40.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) wrong labels (d) photos in many lights
Answer key
- a calculator
- predicting rain
- adds to bias
- good for training
- False
- it may get it wrong
- False
- False
- old emails marked spam
- uses AI
- few child voices in data
- gives a likely answer
- a fact
- False
- learn from data
- making up a story
- AI copies data patterns
- a normal program
- one-sided data
- a normal program
- True
- fix wrong labels
- predicts likely words
- a real check
- sorts or predicts
- False
- text
- fix wrong labels
- never learns from data
- AI always checks facts
- True
- makes something new
- False
- True
- AI
- False
- makes a best guess
- False
- a simple rule is enough
- photos in many lights
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students