Practice - Global Explanations
Practice Questions
Test your understanding with targeted questions
Define bias in the context of machine learning.
💡 Hint: Think about how bias might affect outcomes for specific groups.
What is Explainable AI (XAI)?
💡 Hint: What is the primary goal of XAI?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary concern of bias in machine learning?
💡 Hint: Consider what bias impacts the most.
True or False: Fairness metrics assess only the overall accuracy of a model.
💡 Hint: Remember, fairness involves looking beyond averages.
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Challenge Problems
Push your limits with advanced challenges
You are tasked with developing a hiring model. Detail how you would approach ensuring fairness from data collection to model deployment.
💡 Hint: Consider the steps in the ML process where bias can arise and how you can address them.
Analyze the ethical implications if an AI system used in justice disproportionately impacts minority communities.
💡 Hint: Think about the societal impacts of biased AI systems.
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Reference links
Supplementary resources to enhance your learning experience.