Practice - Deriving the Explanation
Practice Questions
Test your understanding with targeted questions
What is bias in the context of AI?
💡 Hint: Think about how past data can influence present AI decisions.
Define transparency in AI.
💡 Hint: Consider how users can understand AI actions.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What kind of bias refers to prejudices embedded in historical data?
💡 Hint: Think about how past hiring practices might influence current decisions.
True or False: Transparency is not necessary for AI systems.
💡 Hint: Consider the implications of unclear AI actions.
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Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
Supplementary resources to enhance your learning experience.