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Which type of bias occurs when data used to train an AI system is not representative?

• Selection bias

• Confirmation bias

• Measurement bias

• Stereotyping bias

What is stereotyping bias?

• Bias from unbalanced training data

• Bias from systematic measurement errors

• Bias from reinforcing harmful stereotypes

• Bias from incomplete data

What is confirmation bias in AI?

• Bias from harmful stereotypes

• Bias from relying on pre-existing beliefs

• Bias from unrepresentative data

• Bias from systematic data collection errors

What is out-group homogeneity bias?

• Bias from misclassification of minority groups

• Bias from balanced model training

• Bias from explicit prejudices

• Bias from diverse data collection

What is measurement bias?

• Bias from data differing from actual variables

• Bias from diverse data collection

• Bias from explicit prejudices

• Bias from balanced model training

What is the definition of "bias" in the context of AI?

• When AI makes faster decisions.

• When a result is more favorable to a certain outcome.

• When AI learns from too much data.

• When AI models are created in secrecy.

Why is it important to use high-quality data in machine learning?

• To make the computer run faster

• To ensure the machine learning model is accurate

• To reduce electricity usage

• To make the data collection process easier

What is the role of sensors in robotics?

• Communicate with other robots

• Gather information from the environment and provide feedback to the robot

• Provide power to the robot

• Control the movement of the robot

What is AI bias?

• When an AI tool makes a decision based on incomplete data

• When an AI tool makes a decision that is always correct

• When an AI tool makes a decision based on random data

• 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

What is training data for an AI?

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

• The information used to check whether the AI that was created is reliable and accurate

• The information used to confuse the AI

• The information used to slow down the AI