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Why AI systems get things wrong
Practice Questions

40 Kramizo AI Literacy questions on Why AI systems get things wrong, each with instant feedback and a full examiner-style mark scheme.

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✨ Revision guide includes key terms, worked examples and exam technique for Why AI systems get things wrong.

Try 2 sample questions on Why AI systems get things wrong

Question 1 · 1 mark · Difficulty 1/3

What does the term hallucination usually describe when applied to an AI system?

  1. An output confidently presented as fact that is simply not so
  2. A delay before the system responds
  3. A refusal to answer a question
  4. An error message shown to the user
Show answer & explanation
✓ Answer: A — An output confidently presented as fact that is simply not so
Award 1 mark. Most often it takes the form of an invented fact, source or detail, produced in exactly the same confident style as an accurate answer.
Question 2 · 1 mark · Difficulty 1/3

What is meant by a silent failure?

  1. A failure that affects only the audio parts of a system
  2. A failure the developers chose not to publish
  3. A failure that happens without any signal that something has gone wrong
  4. A failure that occurs while nobody is using the system
Show answer & explanation
✓ Answer: C — A failure that happens without any signal that something has gone wrong
Award 1 mark. Generative AI typically fails this way, which is what makes it harder to use safely than software that stops and reports a problem.
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20 questions · 25 min · free

Kramizo AI Literacy: Why AI systems get things wrong FAQ

Is Kramizo free for Kramizo students preparing for AI Literacy?
Yes — completely free. Every student gets 45 questions a day on the free plan, with no card required and no trial countdown. That free quota works across every subject and every topic in our bank, so you can mix Why AI systems get things wrong practice with other AI Literacy topics or even switch to a totally different Kramizo subject without paying anything. Kramizo's optional Pro plan removes the daily cap and adds detailed progress analytics, but the free tier is the real product — used by thousands of GCSE, IGCSE and CSEC students.
Are the Why AI systems get things wrong questions aligned to the official Kramizo AI Literacy syllabus?
Every question is written against the published Kramizo AI Literacy specification, including the exact command words (state, describe, explain, calculate, evaluate, etc.), mark allocations, and difficulty tier you'd see on a real Kramizo paper. Explanations are written in the style of official examiner mark schemes — they tell you what is being awarded marks and why distractors are wrong, not just whether you got it right. The bank is continually refined to match the latest syllabus updates from Kramizo.
How is Why AI systems get things wrong typically tested on Kramizo AI Literacy papers?
Why AI systems get things wrong appears across multiple question types on real Kramizo AI Literacy papers — most commonly as multiple-choice questions in the objective section, structured short-answer questions in the main paper, and occasionally as part of an extended response. Kramizo's practice bank reflects that mix: 4-option MCQs, true/false statements, fill-in-the-blank key terms, multi-select questions, and ordering questions. Working through the bank gives you exposure to every question style examiners actually use.

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