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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define historical bias in machine learning.
💡 Hint: Think about how past decisions can influence AI.
Question 2
Easy
What is representation bias?
💡 Hint: Consider how diversity in training data affects outcomes.
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?
- An intentional act of bias
- Past prejudices affecting data
- A design flaw in algorithms
💡 Hint: Think about how data is drawn from past events or trends.
Question 2
True or False: Representation bias occurs only in historical contexts.
- True
- False
💡 Hint: Consider when data collection is skewed.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a machine learning algorithm trained to predict loan approval that uses historical lending data. How might historical bias manifest in its predictions?
💡 Hint: Think about the history of lending practices and how they affect modern decisions.
Question 2
A school wants to implement an AI system to recommend scholarships to students. What steps should they take to ensure fairness in the model's training?
💡 Hint: Consider how a balance of demographic representation is vital in education.
Challenge and get performance evaluation