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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 past data can influence present AI decisions.
Question 2
Easy
Define transparency in AI.
💡 Hint: Consider how users can understand AI actions.
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 kind of bias refers to prejudices embedded in historical data?
- Representation Bias
- Historical Bias
- Algorithmic Bias
💡 Hint: Think about how past hiring practices might influence current decisions.
Question 2
True or False: Transparency is not necessary for AI systems.
- True
- False
💡 Hint: Consider the implications of unclear AI actions.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Provide a detailed analysis of how a lack of transparency in AI systems can lead to societal mistrust. Develop a plan to enhance transparency in a fictional AI healthcare system.
💡 Hint: Consider both technical (like XAI methods) and procedural transparency measures.
Question 2
Analyze the trade-offs between predictive accuracy and fairness in AI systems. Suggest ways to balance these often-conflicting goals.
💡 Hint: Reflect on the implications of focusing solely on one over the other.
Challenge and get performance evaluation