Artificial Intelligence Basics

From Alan Turing to ChatGPT, test your knowledge of the key ideas, milestones and terms behind artificial intelligence.

8 questions3 minMediumKnowledge

What's inside this quiz

8 questions in the Science & Technology category, about 3 min. Here are the questions you'll answer — correct answers and explanations appear as you play.

See the questions

Who proposed the 'imitation game', now called the Turing test, in 1950?
Which workshop in 1956 is widely regarded as the founding event of artificial intelligence as a research field?
What does 'machine learning' mean?
In 1997, IBM's Deep Blue beat world champion Garry Kasparov at which game?
AlphaGo defeated Lee Sedol in 2016. Which company created AlphaGo?
Artificial neural networks are loosely inspired by…
In AI, what does 'LLM' stand for?
Which organisation released ChatGPT to the public in November 2022?

Instructions

Choose the correct answer for each AI question. Explanations follow every answer.

Artificial Intelligence Basics

From a machine imitating conversation to a computer challenging a world champion, this quiz explores the ideas and milestones behind artificial intelligence. Its eight questions bring together Alan Turing’s imitation game, the Dartmouth workshop, learning from data, and the organisations behind well-known AI systems. You will practise placing events in time, matching systems to their creators, and distinguishing technical terms rather than treating every reference to AI as the same thing. The vocabulary questions focus on what machine learning means, how artificial neural networks are loosely inspired by the human brain, and what the abbreviation LLM stands for. Historical questions connect those concepts with Deep Blue’s chess match, AlphaGo’s victory over Lee Sedol, and the public release of ChatGPT. Choose one answer for each question, then read the explanation to see the reasoning or context. The appeal lies in linking recognisable names with specific dates and ideas, making this a focused review of AI foundations rather than a tour of technical detail.

What you will learn

Place Turing’s 1950 imitation game and the 1956 Dartmouth workshop within the early history of AI.
Distinguish learning patterns from data from following only fixed rules, and describe how neural-network connections change during training.
Expand LLM as “Large Language Model” and connect these models with training on huge amounts of text.
Associate Deep Blue with IBM, AlphaGo with DeepMind, and ChatGPT’s November 2022 public release with OpenAI.

Frequently asked questions

Why do both 1955 and 1956 appear in the history of the Dartmouth workshop?: The workshop took place in 1956 and is widely regarded as the founding event of AI research. Its proposal was dated 1955 and already used the term “artificial intelligence”.
What is the difference between the quiz’s explanations of machine learning and neural networks?: Machine learning describes systems improving by finding patterns in examples instead of following only fixed rules. The neural-network explanation focuses on connected simple units, loosely inspired by neurons, whose connections are adjusted during training.
Which organisations are linked to Deep Blue, AlphaGo and ChatGPT?: IBM’s Deep Blue beat Garry Kasparov at chess in 1997. DeepMind, owned by Google, created AlphaGo, which defeated Lee Sedol 4 games to 1 in 2016. OpenAI released ChatGPT to the public in November 2022.