Practice - Core Concept - 2.2.1
Practice Questions
Test your understanding with targeted questions
What does bias in machine learning refer to?
💡 Hint: Think of examples where AI might treat groups differently.
Name one source of bias in AI.
💡 Hint: Consider the origins of the training data.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main goal of fairness in machine learning?
💡 Hint: Think about the societal implications of AI decisions.
True or False: Explainable AI techniques are only necessary for highly complex models.
💡 Hint: Consider the importance of clarity in all AI applications.
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Challenge Problems
Push your limits with advanced challenges
Design a framework for ensuring fairness in an AI system used for hiring. What steps would you include?
💡 Hint: Think about each phase from data collection to system deployment.
Analyze the potential weaknesses of relying solely on one metric like accuracy to evaluate an AI model.
💡 Hint: Consider what other metrics might provide a better understanding.
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Reference links
Supplementary resources to enhance your learning experience.