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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is algorithmic bias?
💡 Hint: Think about how decisions might be unfairly influenced.
Question 2
Easy
Give an example of historical bias in lending.
💡 Hint: Reflect on the data used to make decisions.
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 type of bias often reflects societal prejudices in AI models?
- Algorithmic Bias
- Human Bias
- Cognitive Bias
💡 Hint: Think about the systemic nature of discrimination.
Question 2
True or False: Historical bias can lead to algorithmic bias.
- True
- False
💡 Hint: Consider how past decisions shape current ones.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an intervention strategy for an algorithmic lending model that reduces bias. Detail the steps involved and expected outcomes.
💡 Hint: Consider both data and human factors.
Question 2
Evaluate the trade-offs between efficiency and ethical fairness in algorithmic lending. How would you prioritize these aspects?
💡 Hint: Think about the long-term impact versus short-term gains.
Challenge and get performance evaluation