Practice - Conceptual Mitigation Strategies for Bias: Interventions at Multiple Stages
Practice Questions
Test your understanding with targeted questions
Define bias in machine learning.
💡 Hint: Consider how bias affects different demographic groups.
What is the goal of re-sampling strategies?
💡 Hint: Think about how you would represent groups fairly.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary aim of bias mitigation in machine learning?
💡 Hint: Think about the implications of bias.
True or False: Re-sampling is a pre-processing strategy aimed at balancing representation.
💡 Hint: Consider when this strategy is applied.
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Challenge Problems
Push your limits with advanced challenges
Evaluate a scenario where a facial recognition system performs worse on minority groups, and propose three bias mitigation strategies it could implement.
💡 Hint: Think about strategies discussed throughout the session.
Discuss potential ethical implications of implementing bias mitigation strategies across an organization.
💡 Hint: Reflect on the broader impacts on organizational culture.
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Reference links
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