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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 hiring practices influence current models.
Question 2
Easy
Explain representation bias.
💡 Hint: Consider how diverse your training images are.
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 historical bias?
- A. Bias in new data
- B. Bias from past data
- C. No bias
💡 Hint: Think about how the past influences present practices.
Question 2
True or False: Representation bias occurs when data is equally represented.
💡 Hint: Reflect on what it means for a population to be represented.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Develop a strategy for mitigating historical bias in a hiring algorithm using input from diverse stakeholders.
💡 Hint: Incorporate discussions with affected groups.
Question 2
Analyze a scenario where a healthcare AI disproportionately misdiagnoses one demographic due to measurement bias. Propose a solution.
💡 Hint: Think about adjusting how you collect data across different groups.
Challenge and get performance evaluation