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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in AI?
💡 Hint: Think about the fairness of outcomes.
Question 2
Easy
Name one fairness metric used in AI.
💡 Hint: Consider metrics that compare outcomes across different groups.
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 do we mean by bias in AI?
- A neutral decision-making process
- A systematic prejudice that influences outcomes
- An statistical error
💡 Hint: Consider what can skew decisions unfairly.
Question 2
Transparency in AI means:
- True
- False
💡 Hint: Think about how clear explanations of AI functions can support trust.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a case where an AI system displays bias. Identify the underlying sources of bias and propose mitigation strategies.
💡 Hint: Break down the problem by stages of the AI development process.
Question 2
Critique the role of transparency in an AI-driven healthcare system's decision-making process and its impact on patient trust.
💡 Hint: Consider the implications of unclear communication on stakeholder trust.
Challenge and get performance evaluation