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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define historical bias in the context of AI.
💡 Hint: Think about how past inequalities can influence current predictions.
Question 2
Easy
What is sampling bias?
💡 Hint: Consider the consequences of only choosing certain demographics.
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 an example of historical bias?
- A) Data from multiple sources
- B) Salary data showing gender wage gaps
- C) Randomly selected survey participants
💡 Hint: Think about how past data can impact current decision-making.
Question 2
True or False: Sampling bias occurs when training data represents the entire target population well.
- True
- False
💡 Hint: Focus on the impact of population representation.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Evaluate how an algorithm might be biased if it's primarily trained on data from one gender. Discuss the potential consequences.
💡 Hint: Consider societal implications and where bias may impact leaders.
Question 2
Critique an AI system used for law enforcement. How could measurement bias manifest in its algorithms, and what would be the implications?
💡 Hint: Think about how data integrity and accuracy are crucial.
Challenge and get performance evaluation