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5 cards from this section. Quick, good the night before a test.
What is bias in AI?
Think about how past injustices can inform present decisions.
Define fairness in the context of AI systems.
Consider how laws promote equality.
Which of the following best describes bias in AI?
Recall how outcomes can differ based on historical injustices.
True or False: Non-discrimination ensures AI decisions are made without bias.
Relate this concept to societal expectations.
Discuss how a company's previous hiring practices can influence the AI systems it develops today.
Think about how data shapes the training of AI.
Evaluate the effectiveness of existing guidelines to counteract bias in AI technologies.
Consider if regulations or incentives play a role.
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