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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is fairness in the context of AI?
💡 Hint: Think about how equality plays a role in technology.
Question 2
Easy
Name one example of where AI bias has occurred.
💡 Hint: Consider areas like justice or 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 principle ensures that AI does not favor one group over another?
- Bias Audit
- Fairness
- Transparency
💡 Hint: Consider which term emphasizes equal treatment in AI.
Question 2
TRUE or FALSE: The COMPAS algorithm is known for its fairness across demographics.
- True
- False
💡 Hint: Recall the issues associated with this specific algorithm.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a framework to evaluate the fairness of hiring algorithms in a multinational corporation. Consider different demographic factors.
💡 Hint: Think of which aspects of hiring can introduce bias.
Question 2
Critique the implications of historical bias in AI training data. How can this influence societal structures?
💡 Hint: How does data reflect real-world challenges?
Challenge and get performance evaluation