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3 cards from this section. Quick, good the night before a test.
What is bias in AI?
Think about how decisions can be unfairly influenced.
Give an example of AI bias.
Consider situations where technology may fail to accurately recognize people.
What is bias in AI?
Think about how AI systems might disadvantage groups.
True or False: Biased training data can lead to biased AI systems.
Consider the relationship between training data and AI behavior.
Discuss how AI bias can affect decision-making in the criminal justice system. Provide real-world examples.
Think about the consequences of biased data in law enforcement.
Develop a framework for evaluating the fairness of an AI hiring system. What criteria should be included?
Consider factors that contribute to equitable practices in hiring.
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