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4 cards from this section. Quick, good the night before a test.
What is algorithmic bias?
Think about how biases in data can affect outputs.
Name a type of bias related to data.
Consider how data can be skewed or incomplete.
What is the source of algorithmic bias?
Think about which component significantly influences AI outcomes.
True or False: All biases in AI come solely from data.
Remember the different types of bias discussed.
Discuss how algorithmic bias might affect hiring practices in the tech industry and propose three solutions to mitigate these biases.
Think about real-world hiring issues influenced by AI systems.
Analyze the ethical implications of using AI in law enforcement. Provide a case where algorithmic bias led to negative outcomes.
Consider existing and high-profile cases of bias in AI.
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