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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is historical bias in machine learning?
💡 Hint: Think about how past discrimination can affect data.
Question 2
Easy
Name a mitigation strategy for bias.
💡 Hint: Consider how to balance out groups in a dataset.
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 representation bias?
- Bias stemming from poor data collection
- Bias due to algorithmic design
- Bias from cultural stereotypes
💡 Hint: Think about the data used for training.
Question 2
True or False: The only source of bias in AI comes from historical data.
- True
- False
💡 Hint: Consider the entire AI development pipeline.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a framework for analyzing the ethical implications of deploying a new AI system in healthcare. Include at least five components.
💡 Hint: Think about how each component interacts together.
Question 2
Critically evaluate a situation where an AI system inadvertently perpetuates e-commerce segregation by recommending products based on biased reviews. Propose at least three measures to prevent this.
💡 Hint: Focus on both technical adjustments and policy changes.
Challenge and get performance evaluation