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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in the context of AI?
💡 Hint: Think about how data influences AI decisions.
Question 2
Easy
Define fairness in AI.
💡 Hint: Consider the implications for job hiring.
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 bias in AI?
- Equal treatment
- Preference for a group
- Algorithmic transparency
💡 Hint: Think about the implications of biased data.
Question 2
True or False: Fairness means treating all individuals equally, regardless of their circumstances.
- True
- False
💡 Hint: Consider how equity plays a role.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a financial AI system that minimizes loan approvals for applicants from minority backgrounds. Analyze the sources of bias and suggest comprehensive changes to ensure fairness.
💡 Hint: Reflect on how past data shapes present decisions.
Question 2
Critically evaluate an insurance company's use of AI to determine premium rates based on zip codes. Discuss the ethical implications and propose a solution.
💡 Hint: Consider how context and personal information can impact outcomes.
Challenge and get performance evaluation