Understanding AI bias

Open Ended

How does AI bias occur?

Multiple Choice

What are the two types of data used by computer scientists when creating AI?

• Input data and output data

• Training data and testing data

• Raw data and processed data

• Sample data and real data

Multiple Choice

A computer scientist wants to create an AI that can recognize different types of animals in photos. Which of the following is an example of training data for this AI?

• New photos the AI hasn’t seen yet used to check if it can recognize animals

• Random numbers that have nothing to do with animals

• The final predictions the AI makes after it has learned

• A set of labeled photos of cats, dogs, and birds used to teach the AI

Open Ended

Do you notice any mistakes? Why do you think the AI is making these mistakes?

Open Ended

What are some ways we could reduce the AI bias of this fruit detector?

Open Ended

Imagine you're now asked to create an AI tool that can identify weather conditions, such as sunny, rainy, or cloudy.

Describe the kind of images you would include as a part of the training data. Your goal is to come up with as complete of a data set as possible so that you limit the chance for AI bias!

Multiple Choice

What is one example of how bias can affect the way AI systems identify objects, as shown in the images?

• The AI correctly identifies all fruits, no matter their color

• The AI thinks every red fruit, even strawberries or cherries, is an apple

• The AI ignores the color of fruits completely

• The AI can only identify green fruits

Multiple Choice

Why is it important to use a diverse and complete set of training data when developing AI tools?

• To avoid using the internet

• To make the tool faster

• To use less memory

• To reduce AI bias

Open Ended

List two ways humans can influence AI bias when developing AI tools.

Open Ended

After learning about AI bias, what is one question you still have or something you would like to know more about?