Viés em Inteligência Artificial

At what stage of the AI pipeline can bias occur?

• Only in data collection

• Only in model training

• Only in the deployment phase

• At any stage: collection, training, or deployment

Which of the following represents an example of direct discrimination in AI?

• Using ZIP code as a predictor variable

• The algorithm making equally wrong predictions among groups

• The algorithm directly considering skin color in the decision

• Using irrelevant variables like height

What is transparency in AI?

• Explaining the model's results with graphs

• Showing the final results of the model

• Opening the source code to the public

• Disclosing how the system was developed, trained, and tested

What is selection bias?

• When data is collected through sensors

• When the database is not representative of reality

• When the algorithm prioritizes correct predictions

• When the model ignores irrelevant variables

What is XAI (Explainable AI)?

• A type of AI that creates prediction graphs

• A method of data collection

• An approach that allows understanding and trusting the model's decisions

• A new type of neural network

What type of bias is exemplified when a system repeatedly associates certain professions with a skin color?

• Measurement bias

• Confirmation bias

• Homogeneity bias

• Stereotyping bias

What tool is used to mitigate bias in AI?

• Xcode

• Fairlearn

• ReactJS

• PowerBI

What characterizes confirmation bias in AI?

• The use of irrelevant variables

• Reinforcing existing patterns in the data

• Ignoring statistical information

• Excluding historical data

What is a real example of bias in AI in the healthcare field?

• Diagnoses with lower accuracy for women and minority groups

• Algorithms that do not make predictions

• Models that only use images

• Using data only from private hospitals