1) What does AI stand for? a) Artificial Intelligence b) Automated Intelligence 2) What is an example of an AI? a) A calculator b) A voice assistant (e.g. Alexa) 3) AI systems usually learn from.... a) Instructions from humans b) Data 4) In classification, AI tries to... a) Sort items into categories b) Count the number of items c) Decide if data is good or bad 5) What is a data-driven approach? a) Writing rules manually b) Guessing outcomes c) Training with examples 6) What does a training dataset help an AI do? a) Learn patterns and make predictions b) Store information for later c) Learn the correct answers 7) What is bias in AI?  a) When AI makes fair decisions b) When AI makes unfair decisions based on stereotypes 8) Why is biased data a problem? a) It can lead to unfair results b) AI can learn faster on more data c) It stops harmful stereotypes and behaviour 9) What helps reduce bias? a) Using data from only one source b) Ignoring unusual results c) Using data that is at least 10 years old d) Including diverse examples 10) Which of these uses AI? a) A fridge b) Toothbrush c) A rotary phone d) A typewriter 11) AI can help doctors by... a) Diagnosing diseases b) Cleaning hospital rooms c) Cancelling appointments d) Treating patients 12) Which of these is a challenge for AI? a) Understanding human emotions b) Solving maths problems c) Summarising large documents d) Writing code

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