Practice - Conceptual Methodologies for Bias Detection
Practice Questions
Test your understanding with targeted questions
What is historical bias?
💡 Hint: Think about how historical data shapes future predictions.
Name one source of bias in machine learning.
💡 Hint: Consider where bias can enter the ML lifecycle.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does historical bias in ML models indicate?
💡 Hint: Think about how historical data influences model training.
True or False: Representation bias occurs when training data is too diverse.
💡 Hint: Think about what happens when data samples are skewed.
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Challenge Problems
Push your limits with advanced challenges
Design an experiment to assess the demographic parity of a loan approval model. What metrics would you choose and why?
💡 Hint: Think about how you can represent different populations in your analysis.
Discuss the ethical implications of an AI system that exhibits algorithmic bias. What long-term effects could this have on society?
💡 Hint: Consider both immediate and ripple effects of biased systems.
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Reference links
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