How Much Do You Know About AI? Take This AI Quiz

Artificial intelligence has gone from something we mostly saw in science-fiction movies to something many of us use every day. It can recommend a video, help write an email, recognize a face, translate a sentence, create an image, or answer a question in seconds.

But how much do we actually know about the technology behind it?

This AI quiz covers a little bit of everything: basic artificial intelligence, machine learning, chatbots, generative AI, computer vision, voice assistants, robots, and some of the terms you have probably heard but may not fully understand.

There are 50 questions in total. Some are easy, while others might make you stop and think for a moment.

Try to answer each one before checking the answer. No searching, no asking an AI assistant, and definitely no peeking!

Before You Take the AI Quiz

Want to warm up first? Try this AI quiz video and see how many questions you can answer before starting our 50-question challenge.

AI Quiz: 50 Questions

1. What does AI stand for?

A. Automated Internet
B. Artificial Intelligence
C. Advanced Information
D. Automatic Innovation

Answer: B. Artificial Intelligence

2. What is the main idea behind artificial intelligence?

A. Making computers physically larger
B. Giving computers the ability to perform tasks that normally require human intelligence
C. Increasing internet speed
D. Replacing computer hardware

Answer: B. Giving computers the ability to perform tasks that normally require human intelligence

3. Which of these is an example of AI that many people use every day?

A. A basic light switch
B. A paper notebook
C. A recommendation system on a streaming service
D. A regular wall clock

Answer: C. A recommendation system on a streaming service

4. What is machine learning?

A. A method where computers learn patterns from data
B. A way to physically repair computers
C. A type of computer screen
D. A programming language

Answer: A. A method where computers learn patterns from data

5. Which is generally considered a subset of artificial intelligence?

A. Machine learning
B. Computer hardware
C. Internet browsing
D. File storage

Answer: A. Machine learning

6. What is deep learning?

A. Learning how to use a computer deeply
B. A type of machine learning based on multi-layer neural networks
C. A method for increasing storage space
D. A type of computer monitor

Answer: B. A type of machine learning based on multi-layer neural networks

7. What is a neural network inspired by?

A. The structure and functioning of the human brain
B. The design of computer keyboards
C. The internet's cable system
D. A computer's hard drive

Answer: A. The structure and functioning of the human brain

8. What does Generative AI mainly do?

A. Only stores information
B. Creates new content such as text, images, audio, video, or code
C. Repairs broken hardware
D. Increases Wi-Fi range

Answer: B. Creates new content such as text, images, audio, video, or code

9. Which of these can Generative AI create?

A. Text
B. Images
C. Audio
D. All of the above

Answer: D. All of the above

10. What is an AI chatbot designed to do?

A. Have conversations with users using AI
B. Charge a phone battery
C. Print documents automatically
D. Replace a computer keyboard

Answer: A. Have conversations with users using AI

11. What is a prompt in Generative AI?

A. A computer virus
B. An instruction or request given to an AI system
C. A type of processor
D. A storage device

Answer: B. An instruction or request given to an AI system

12. Which of these is an example of computer vision?

A. An AI system identifying objects in a photograph
B. A computer playing music through speakers
C. A keyboard typing letters
D. A printer producing a document

Answer: A. An AI system identifying objects in a photograph

13. What does speech recognition allow a computer to do?

A. Understand spoken language as input
B. Increase screen brightness
C. Store more files
D. Improve battery capacity

Answer: A. Understand spoken language as input

14. Which technology is commonly used when your phone recognizes your face?

A. Computer vision
B. Spreadsheet software
C. File compression
D. Bluetooth only

Answer: A. Computer vision

15. What is natural language processing?

A. A technology for helping computers work with human language
B. A method for repairing natural resources
C. A type of computer graphics
D. A technique for cooling processors

Answer: A. A technology for helping computers work with human language

16. What is an AI model?

A. A physical robot used for testing
B. A trained computational system that can perform a particular task or set of tasks
C. A computer monitor design
D. A type of charging cable

Answer: B. A trained computational system that can perform a particular task or set of tasks

17. What does AI training generally involve?

A. Giving a model data or examples so it can learn patterns
B. Painting a computer case
C. Installing a new keyboard
D. Increasing the size of a monitor

Answer: A. Giving a model data or examples so it can learn patterns

18. Why is data important to many machine learning systems?

A. Models can learn patterns from data
B. Data makes screens brighter
C. Data replaces computer processors
D. Data automatically fixes every software bug

Answer: A. Models can learn patterns from data

19. What is supervised learning?

A. Learning from labeled examples
B. Learning without using any data
C. Learning only from robots
D. Learning by turning off a computer

Answer: A. Learning from labeled examples

20. What is unsupervised learning?

A. Learning patterns from data without predefined labels for every example
B. Learning only from a teacher sitting beside the computer
C. Learning without using algorithms
D. Learning by manually typing every answer

Answer: A. Learning patterns from data without predefined labels for every example

21. What is reinforcement learning based on?

A. Rewards and penalties or feedback from actions
B. Only handwritten notes
C. Internet speed
D. Screen resolution

Answer: A. Rewards and penalties or feedback from actions

22. Which of these is a common use of AI in online shopping?

A. Product recommendations
B. Changing the physical size of a store
C. Printing money
D. Charging customers' phones

Answer: A. Product recommendations

23. Why does YouTube or another video platform recommend certain videos to you?

A. It can use algorithms and user activity to predict what may interest you
B. Every user receives exactly the same recommendations
C. The recommendations are chosen randomly every time
D. The phone camera selects them

Answer: A. It can use algorithms and user activity to predict what may interest you

24. Which of these is an example of AI being used in navigation?

A. Predicting routes and estimating travel time
B. Increasing the size of road signs
C. Charging an electric vehicle
D. Printing a physical map

Answer: A. Predicting routes and estimating travel time

25. What can an AI-powered spam filter help identify?

A. Unwanted or suspicious messages
B. The color of your phone case
C. Your screen size
D. Your battery temperature only

Answer: A. Unwanted or suspicious messages

26. What does GPT stand for?

A. General Processing Technology
B. Generative Pre-trained Transformer
C. Global Prediction Tool
D. Graphical Processing Transformer

Answer: B. Generative Pre-trained Transformer

27. What is an LLM?

A. Large Language Model
B. Long Learning Machine
C. Logical Language Machine
D. Large Logic Monitor

Answer: A. Large Language Model

28. What are large language models mainly designed to work with?

A. Human language and text
B. Only computer batteries
C. Physical engines
D. Keyboard hardware

Answer: A. Human language and text

29. What does a transformer refer to in modern AI?

A. A neural-network architecture widely used for processing sequences and language
B. A device that changes electrical voltage only
C. A type of computer mouse
D. A storage format

Answer: A. A neural-network architecture widely used for processing sequences and language

30. What is an AI hallucination?

A. When an AI system produces information that sounds convincing but is incorrect or unsupported
B. When an AI system physically disappears
C. When a computer screen flashes
D. When an AI system runs out of electricity

Answer: A. When an AI system produces information that sounds convincing but is incorrect or unsupported

31. Why should you check important information produced by AI?

A. AI systems can sometimes make mistakes or provide inaccurate information
B. AI is always offline
C. AI cannot produce text
D. AI only works on weekends

Answer: A. AI systems can sometimes make mistakes or provide inaccurate information

32. Which of these is an example of AI image generation?

A. Creating an image from a written description
B. Taking a photo with a normal camera without software processing
C. Printing an existing photograph
D. Cleaning a camera lens

Answer: A. Creating an image from a written description

33. What is an AI voice assistant commonly used for?

A. Answering questions and performing voice-controlled tasks
B. Increasing the phone's physical size
C. Replacing the phone battery
D. Repairing damaged speakers

Answer: A. Answering questions and performing voice-controlled tasks

34. Which of these is an example of AI in photography?

A. Automatic scene or face recognition
B. A physical camera strap
C. A camera lens cap
D. A printed photo album

Answer: A. Automatic scene or face recognition

35. What is predictive AI generally used for?

A. Using available data to estimate or predict future outcomes
B. Creating physical batteries
C. Replacing computer screens
D. Increasing internet cable length

Answer: A. Using available data to estimate or predict future outcomes

36. Which field uses AI to help analyze medical images?

A. Healthcare
B. Fashion only
C. Music production only
D. Sports broadcasting only

Answer: A. Healthcare

37. What is robotics?

A. A field involving the design and use of robots
B. A type of social media
C. A programming font
D. A cloud-storage service

Answer: A. A field involving the design and use of robots

38. Are all robots powered by artificial intelligence?

A. Yes, every robot uses AI
B. No, robots can operate using fixed instructions or other control systems without AI
C. Only toy robots use AI
D. Only industrial robots use AI

Answer: B. No, robots can operate using fixed instructions or other control systems without AI

39. Which of these is an example of AI in customer service?

A. An AI chatbot answering common customer questions
B. A paper receipt
C. A physical shopping basket
D. A store's front door

Answer: A. An AI chatbot answering common customer questions

40. What is one reason AI systems can sometimes produce biased results?

A. Bias can exist in the data or processes used to build and evaluate the system
B. Computers always prefer one color
C. AI systems can only understand English
D. AI automatically chooses random answers

Answer: A. Bias can exist in the data or processes used to build and evaluate the system

41. Which of these is NOT automatically guaranteed by using AI?

A. Perfect accuracy
B. Faster processing for some tasks
C. Automated analysis
D. Pattern recognition

Answer: A. Perfect accuracy

42. What is AI automation?

A. Using AI to perform or assist with tasks that would otherwise require human effort
B. Turning off all computers
C. Manually completing every digital task
D. Replacing the internet

Answer: A. Using AI to perform or assist with tasks that would otherwise require human effort

43. Which of these tasks can Generative AI assist with?

A. Drafting text
B. Creating images
C. Generating computer code
D. All of the above

Answer: D. All of the above

44. What is multimodal AI?

A. AI that can work with more than one type of information or input, such as text and images
B. AI that can only understand numbers
C. AI that works without any data
D. AI that can only run on mobile phones

Answer: A. AI that can work with more than one type of information or input, such as text and images

45. What is one common use of AI in email services?

A. Spam detection and message categorization
B. Physically delivering letters
C. Replacing the phone's camera
D. Increasing internet cable speed

Answer: A. Spam detection and message categorization

46. Which statement about AI is true?

A. AI is only used in robots
B. AI is already used in many software products and everyday services
C. AI can never make mistakes
D. AI always understands information exactly like a human

Answer: B. AI is already used in many software products and everyday services

47. Which of these is a good practice when using Generative AI?

A. Check important information before relying on it
B. Assume every answer is automatically correct
C. Share private information without thinking
D. Never question the output

Answer: A. Check important information before relying on it

48. What is the difference between traditional software and many machine learning systems?

A. Traditional software generally follows explicitly written rules, while machine learning systems can learn patterns from data
B. Traditional software cannot run on computers
C. Machine learning does not use data
D. Traditional software is always more intelligent

Answer: A. Traditional software generally follows explicitly written rules, while machine learning systems can learn patterns from data

49. Which statement best describes today's Generative AI tools?

A. They can generate different types of content based on user instructions
B. They only perform mathematical calculations
C. They can only recognize faces
D. They only work with physical robots

Answer: A. They can generate different types of content based on user instructions

50. Which is the best way to think about AI?

A. A single machine that thinks exactly like a human
B. A broad field of technologies designed to perform tasks involving capabilities such as learning, reasoning, prediction, perception, or language processing
C. A replacement for every human job
D. A type of internet connection

Answer: B. A broad field of technologies designed to perform tasks involving capabilities such as learning, reasoning, prediction, perception, or language processing

How Did You Score?

Now for the important part: how many did you get right?

• 45–50: You really know your AI. The basic concepts probably aren't new to you.
• 35–44: Strong score! You understand most of the AI concepts people come across today.
• 25–34: Not bad at all. You know the basics, but there are still a few areas worth exploring.
• 15–24: You have a starting point. A little more time with AI basics could make a big difference.
• 0–14: Looks like AI still has a few surprises for you. Try the quiz again after learning the basics.

Final Thoughts

AI can sound complicated because there are so many terms flying around: machine learning, deep learning, neural networks, large language models, Generative AI, computer vision and more.

But you don't need to be an AI engineer to understand the basics.

The technology is already part of everyday life, from recommendations and search tools to smartphones, translation, chatbots, image generators and navigation apps. Knowing what these systems actually do can make it much easier to separate real AI capabilities from the hype surrounding them.

So, how did you do? Share your score with a friend and see who knows more about AI.