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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define bias in the context of machine learning.
💡 Hint: Think about discrimination against specific groups.
Question 2
Easy
What is the purpose of accountability in AI?
💡 Hint: Consider the implications of errors in decision-making.
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 goal of Explainable AI?
- To increase model complexity
- To make AI decisions understandable
- To reduce data privacy
💡 Hint: Think about the relationship between user trust and understanding.
Question 2
True or False: Accountability in AI means no one is responsible for algorithm decisions.
- True
- False
💡 Hint: Consider the implications of accountability in technology.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Propose a set of metrics for evaluating fairness in an AI model used for recruitment. Explain your reasoning.
💡 Hint: Consider how different groups are represented in outcomes.
Question 2
Design a plan to ensure accountability in a machine learning system that predicts customer behavior. What steps would you take?
💡 Hint: Think about how you would track decisions back to individuals or teams.
Challenge and get performance evaluation