Practice - Representation Bias (Sampling Bias / Underrepresentation)
Practice Questions
Test your understanding with targeted questions
What does representation bias mean in machine learning?
💡 Hint: Think about diversity in datasets.
Give an example of representation bias.
💡 Hint: Consider biases in real-world applications like AI systems.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is representation bias?
💡 Hint: Focus on the source of the bias.
True or False: Representation bias only affects facial recognition AI.
💡 Hint: Think about different contexts where AI is applied.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You are tasked with designing an AI model for predicting loan approvals. Outline a detailed strategy for ensuring equitable representation in your training data.
💡 Hint: Think about the entire lifecycle, from data collection to model evaluation.
Debate the ethical implications of deploying an AI system in criminal justice without adequate representation of racial minorities in training data.
💡 Hint: Consider societal impacts and the role of fairness in justice.
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Reference links
Supplementary resources to enhance your learning experience.