Practice - Ethics in AI Development Lifecycle
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Practice Questions
Test your understanding with targeted questions
What is meant by 'anonymization' in data collection?
💡 Hint: Think about how to protect user identities.
Why is fairness important in model training?
💡 Hint: Consider the impacts of biased data on decision making.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the key ethical focus during data collection?
💡 Hint: Consider why privacy is important.
True or False: Bias is acceptable in AI if it results in better performance.
💡 Hint: Think about fairness in decision-making.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Design a process to ethically collect data from a group that contains sensitive demographic information. Discuss how you would ensure consent and fairness.
💡 Hint: Think about ethics and inclusion.
Propose a framework for monitoring AI systems to prevent bias. What metrics would you include and how would you analyze them?
💡 Hint: Consider ongoing evaluations and user input.
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Reference links
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