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Knowledge
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define bias in the context of AI.
💡 Hint: Think about the implications of unequal treatment.
Question 2
Easy
What is the goal of fairness in AI systems?
💡 Hint: Consider equal outcomes across demographics.
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 the main purpose of implementing fairness in AI?
- To optimize performance
- To reduce operational costs
- To ensure equitable treatment
💡 Hint: Think about the goals of ethical AI.
Question 2
Is bias in AI systems an indication of a flawed model?
- True
- False
💡 Hint: Consider the impact of historical data.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are tasked with developing an AI system for lending. Discuss how you would address potential biases and what accountability measures would you implement.
💡 Hint: Consider all stages of AI implementation.
Question 2
Propose a framework for continuous monitoring of an AI system that ensures privacy while fostering transparency.
💡 Hint: Focus on maintaining a balance between privacy and clarity.
Challenge and get performance evaluation