Artificial Intelligence questions

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Artificial Intelligence question collection

Review Artificial Intelligence questions for Computer Science, with correct answers shown and coverage across AI and machine learning vocabulary; training data; bias and limitations.

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Question 1

What does AI stand for?
  1. Artificial Intelligence
  2. Automated Internet
  3. Applied Interface
  4. Array Instruction

Question 2

What are AI systems designed to do?
  1. Perform tasks that usually need human intelligence
  2. Replace all hardware components
  3. Store data without electricity
  4. Only run spreadsheets

Question 3

What is machine learning?
  1. A way for computers to learn patterns from data
  2. A type of monitor cable
  3. A password manager
  4. A cloud storage unit

Question 4

What is training data used for?
  1. Train an AI model
  2. Power the CPU
  3. Encrypt an SSD
  4. Label keyboard keys

Question 5

What is a model in AI?
  1. A learned pattern used for predictions
  2. A network router
  3. A type of variable
  4. A graphics card

Question 6

What does inference in AI mean?
  1. Using a model to make a prediction
  2. Training a model from scratch
  3. Deleting training data
  4. Renaming classes in code

Question 7

What does NLP stand for?
  1. Natural Language Processing
  2. Network Logic Protocol
  3. Numeric List Processing
  4. Node Link Programming

Question 8

In AI, what is computer vision used for?
  1. Understanding images and video
  2. Managing CPU temperature
  3. Compressing text files
  4. Building databases

Question 9

What is a chatbot?
  1. Software that can chat with users
  2. A hardware firewall
  3. A virus scanner only
  4. A spreadsheet chart

Question 10

What are recommendation systems used for?
  1. Suggest products or content
  2. Encrypt user passwords
  3. Format hard drives
  4. Defragment memory

Question 11

What does classification in AI mean?
  1. Assigning data to categories
  2. Sorting files by size only
  3. Converting decimal to binary
  4. Writing HTML forms

Question 12

What does speech recognition convert?
  1. Spoken words to text
  2. Text to pixels
  3. Images to audio only
  4. Numbers to passwords

Question 13

What can AI bias cause?
  1. Unfair outcomes
  2. Guaranteed perfect accuracy
  3. No need for testing
  4. No privacy risks

Question 14

In AI, what does accuracy measure?
  1. How often predictions are correct
  2. How fast internet is
  3. How many files are stored
  4. How many colours are used

Question 15

What does human oversight in AI mean?
  1. People check AI decisions
  2. AI checks all humans
  3. No one checks outputs
  4. Only robots can edit data

Question 16

What can generative AI do?
  1. Create new content
  2. Only delete content
  3. Only sort databases
  4. Only update drivers

Question 17

Face unlock on a phone is an example of what?
  1. Facial recognition
  2. Database normalisation
  3. Binary shifting
  4. Spreadsheet lookup

Question 18

What is a key AI privacy concern?
  1. Collecting personal data
  2. Too many USB ports
  3. Low battery voltage
  4. Slow keyboard response

Question 19

Before deployment, what should AI systems be?
  1. Tested carefully
  2. Hidden from users
  3. Used without checks
  4. Run only once

Question 20

What should good training data be like?
  1. Representative and varied
  2. Very small and repetitive
  3. Only from one person
  4. Always random text

Question 21

Why can biased training data be a problem?
  1. It can lead to unfair predictions
  2. It guarantees perfect accuracy
  3. It removes the need for testing
  4. It prevents privacy concerns

Question 22

Why should humans review AI outputs?
  1. To catch errors and unsafe decisions
  2. To make training data smaller
  3. To remove all model updates
  4. To avoid collecting any data

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Review Artificial Intelligence questions for Computer Science, with correct answers shown and coverage across AI and machine learning vocabulary; training data; bias and limitations.

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