Practice - Disparate Impact Analysis
Practice Questions
Test your understanding with targeted questions
What does Disparate Impact Analysis seek to examine?
💡 Hint: Think about outcomes related to demographic attributes.
Define demographic parity in the context of machine learning.
💡 Hint: Consider what fairness looks like.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does Disparate Impact Analysis focus on?
💡 Hint: Remember what we learned about fairness in AI.
True or False: A higher false positive rate is acceptable if the overall accuracy is high.
💡 Hint: Consider how fairness relates to decisions for all groups.
1 more question available
Challenge Problems
Push your limits with advanced challenges
An AI model for loan approval shows 95% accuracy overall, but 70% for women applicants. Discuss the implications and what fairness measures should be put in place.
💡 Hint: Think about how different metrics can uncover hidden biases in AI.
Analyze how a Disparate Impact Analysis can influence a hospital's AI-driven patient assignment system.
💡 Hint: Consider how ethical decision-making interacts with health outcomes.
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Reference links
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