12.9 - Bias and Fairness in Evaluation
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Practice Questions
Test your understanding with targeted questions
What is bias in the context of AI?
💡 Hint: Think about how training data may be lopsided.
What is meant by fairness-aware metrics?
💡 Hint: Consider metrics that ensure everyone is treated equally.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does bias in AI usually stem from?
💡 Hint: Consider where the AI learns its information.
True or False: All AI models are fair with no bias.
💡 Hint: Think about how data reflects reality.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Imagine you are tasked with creating a fairness-aware metric for an AI model that predicts loan approvals. Design this metric and justify your choices.
💡 Hint: Consider what characteristics will indicate equitable treatment across groups.
Reflect on a popular case where AI bias has negatively impacted a community. Discuss how you might redesign the training data to rectify such bias.
💡 Hint: Think about the variety of people included in training samples.
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