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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in AI?
💡 Hint: Think about the fairness of decisions made by AI.
Question 2
Easy
Name one consequence of bias in AI systems.
💡 Hint: Consider areas where consequences could be severe.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is data bias?
- Bias from algorithm design
- Bias from training data
- Bias from user interaction
💡 Hint: Consider where the training information comes from.
Question 2
True or False: Algorithmic bias can arise from the way AI algorithms process data.
- True
- False
💡 Hint: Focus on how the algorithm impacts outputs.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation