Quiz on Artificial Intelligence (Introduction)

What is “bias” in artificial intelligence?

• A. When the computer gives unfair or wrong results because of bad or limited data

• B. When the computer types faster than you

• C. When AI becomes sleepy

• D. When the fish are all the same color

Answer explanation

Bias in AI happens when the training data doesn’t represent all the possibilities fairly, so the computer learns in a way that favors only certain results.

What is artificial intelligence (AI)?

• A computer system that can learn and make decisions

• A type of fish

• A game

• A robot vacuum only

Answer explanation

AI is a computer system that learns and makes decisions, often based on data.

What does “machine learning” mean?

• Computers learn patterns from data

• Machines are learning like humans

• Robots go to school

• It's how you charge a machine

Answer explanation

Machine learning allows computers to recognize patterns and improve without being directly programmed.

In the activity, what were you teaching the AI to do?

• Recognize fish and remove trash

• Swim faster

• Catch real fish

• Clean up homework

Answer explanation

The AI was trained to recognize which objects are fish and which are not.

What happens if you give AI bad training data?

• The AI will make mistakes

• The AI becomes smarter

• The AI deletes the data

• The AI ignores it

Answer explanation

Poor or biased training data leads to incorrect results.

What kind of things were in the ocean in the game?

• Fish

• Trash

• Clouds

• Cars

Answer explanation

The game had fish (good) and trash (bad) objects to classify.

What is "training data"?

• A school for fish

• The examples we give AI to help it learn

• The number of fish in the ocean

• A memory card

Answer explanation

Training data is the labeled examples AI uses to learn patterns.

Which of these is a real-world use of AI?

• Email spam filters

• Voice assistants (like Siri)

• Movie recommendations

• Drawing fish with crayons

What does “bias” in AI mean?

• When AI gives unfair or incorrect results based on bad data

• When AI goes to sleep

• When AI runs out of power

• When AI becomes a robot

Answer explanation

AI bias happens when training data isn’t fair or complete.

What can help reduce bias in AI?

• Using more and better training data

• Using only pictures of blue fish

• Never training the AI

• Giving random answers

Answer explanation

Good, diverse training data reduces AI bias.