Practice - Critical Importance - 2.3.2
Practice Questions
Test your understanding with targeted questions
What is bias in the context of machine learning?
💡 Hint: Think about the implications of unfair decision-making.
Name two key principles in AI ethics.
💡 Hint: Consider what makes AI systems trustworthy.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does bias in machine learning often lead to?
💡 Hint: Consider how AI might reflect societal prejudices.
True or False: Transparency in AI means making the internal decision-making process clear to all stakeholders.
💡 Hint: Think about trust in AI systems.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Analyze a scenario where a health AI model discriminates against a specific demographic based on biased training data. What steps would you recommend to identify and mitigate this bias?
💡 Hint: Think about the complete cycle from data collection to deployment.
Propose a framework for ensuring accountability in an AI system used for lending decisions. What roles should be defined, and what measures should be put in place to maintain accountability?
💡 Hint: Consider how different roles interact with the AI system.
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Reference links
Supplementary resources to enhance your learning experience.