B1 · Introduction to Artificial Intelligence

Module Review and Assessment

This review brings together the key ideas of Introduction to Artificial Intelligence: what intelligence is, what makes a system AI, how AI differs from automation, the types of AI, its history and why it matters, followed by a scored quiz with an explanation for every answer.

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What you need: Nothing. This page starts from the beginning, with no programming and no formulas.

Definition

Ready to show what you've learned about AI?

This review brings together the key ideas of Introduction to Artificial Intelligence: what intelligence is, what makes a system AI, how AI differs from automation, the types of AI, its history and why it matters, followed by a scored quiz with an explanation for every answer.

In simple words

Read the recap table first. Then take the quiz. If you get a question wrong, read the explanation and go back to that topic. There is no time limit, and you can try again as many times as you like.

Why it matters

Recalling ideas, rather than only re-reading them, is one of the most reliable ways to remember them. This review also shows you which topics to revisit before moving on to how AI learns from data.

How it works

IdeaIn one line
IntelligenceLearning, reasoning, language, perception and problem solving
Artificial intelligenceMachines doing tasks that normally need human intelligence
Automation and AIAutomation repeats fixed steps; AI handles new cases
Parts of an AI systemInput, understand, decide, output, learn
Types by capabilityNarrow (exists today), general and super (not yet)
AI, ML and deep learningDeep learning is inside machine learning, which is inside AI
HistoryTuring 1950, Dartmouth 1956, two winters, deep learning 2012, chatbots 2022
People and AIWork best together, with a person responsible

Try it yourself

Connect the big ideas

Before the quiz, match each idea from this module to what it means.

  • Automation
  • Artificial intelligence
  • Narrow AI
  • Deep learning
  • Alan Turing, 1950
  • AI winters

Common mistakes

  • Mixing up automation and AI.
  • Thinking general or super AI already exists.
  • Thinking AI understands or feels like a person.

Check yourself

Question 1

1. Which ability lets you recognise a friend's voice?

Question 2

2. What does 'artificial' mean in AI?

Question 3

3. Which is AI rather than automation?

Question 4

4. In a smart speaker, playing the song is the…

Question 5

5. Who usually needs more examples to learn: a child or a machine?

Question 6

6. Which is a human strength?

Question 7

7. Who should stay responsible for a medical decision made with AI's help?

Question 8

8. Which type of AI exists today?

Question 9

9. A chess computer that only reacts to the current board is a…

Question 10

10. How do AI, machine learning and deep learning fit together?

Question 11

11. Who asked "Can machines think?" in 1950?

Question 12

12. Where was the name 'artificial intelligence' first used for a research meeting?

Question 13

13. What caused the AI winters?

Question 14

14. Which is a myth about AI?

Question 15

15. Why should everyone understand AI?

Summary

  • You can now explain what AI is and tell it apart from automation.
  • You know the types of AI, how AI began and where it stands today.
  • Next: how AI actually learns from data, in How Artificial Intelligence Works.

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