Practice - Case Study 1: Algorithmic Lending Decisions – Perpetuating Economic Disparity
Practice Questions
Test your understanding with targeted questions
What is algorithmic bias?
💡 Hint: Think about how decisions might be unfairly influenced.
Give an example of historical bias in lending.
💡 Hint: Reflect on the data used to make decisions.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What type of bias often reflects societal prejudices in AI models?
💡 Hint: Think about the systemic nature of discrimination.
True or False: Historical bias can lead to algorithmic bias.
💡 Hint: Consider how past decisions shape current ones.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
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