2.4 - Bias and Fairness in AI
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Practice Questions
Test your understanding with targeted questions
What is bias in AI?
💡 Hint: Think about the fairness of decisions made by AI.
Name one consequence of bias in AI systems.
💡 Hint: Consider areas where consequences could be severe.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is data bias?
💡 Hint: Consider where the training information comes from.
True or False: Algorithmic bias can arise from the way AI algorithms process data.
💡 Hint: Focus on how the algorithm impacts outputs.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Analyze a case study where bias in AI led to real-world consequences. What strategies could have been implemented to prevent this bias?
💡 Hint: Think about major incidents reported in the media.
Develop a plan to evaluate the fairness of a healthcare AI system. List key metrics and strategies you would use.
💡 Hint: Consider what variables influence healthcare outcomes.
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