What is the first step in the AI model development cycle?
An AI system trained using data from only one group will most likely produce:
Which of the following helps reduce AI bias?
Which of the following is an example of supervised learning?
Classification in AI means:
The purpose of test data is to:
Bias in AI can originate from:
What does bias mean in AI?
Sampling bias happens when:
Selection bias refers to:
Exclusion bias arises when:
Prejudice bias is introduced when:
Feature bias happens when:
Confirmation bias means people:
Anchoring bias occurs when:
Face recognition systems may fail for:
Healthcare AI bias may result in:
What did the biased US healthcare algorithm favour?
What is COMPAS related to?
The COMPAS algorithm incorrectly labelled black defendants as:
Where was healthcare bias identified in 2019?
Which step comes right after training the model?
Fair AI systems should ideally be:
What happens if feedback is not used in AI development?
Diverse data helps the AI system to:
If training data is biased, the AI model will:
Why is dividing data into training and testing sets important?
Which stage helps identify mistakes after testing the AI model?
The flow of the AI model in this lesson is:
What is the main purpose of reducing AI bias?
