Understanding AI Bias

What are the two types of data used to create AI?

(Pick the two correct answers below)

• bias

• training

• testing

• fruit

The information given to an AI to help it learn how to do a specific task.

• Training data

• A manual

• A video tutorial

• A mentor

What type of data is used to check the reliability and accuracy of AI?

• Training data

• Testing data

• Sample data

• Input data

Testing data is used to ensure AI is:

• Fast and efficient

• Reliable and accurate

• Cheap and accessible

• Complex and advanced

When an AI tool makes a decision that is wrong or problematic because it learned
from training data that didn't treat all people, places, and things accurately it has:

• Training data

• A team of experts

• AI bias

• A detailed plan

What is one way to reduce AI bias according to the text?

• Use less data

• Eliminate all data

• Use diverse and complete data

• Ignore data quality

Who is responsible for making decisions on the training data used by AI tools?

• Computers

• Robots

• Humans

• Animals

Why is it important to understand how AI bias occurs?

• To make AI tools more expensive

• To think critically about its potential errors and reliability

• To avoid using AI tools

• To make AI tools less efficient