3 - Key Research Challenges
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Practice Questions
Test your understanding with targeted questions
What does explainability in AI mean?
💡 Hint: Think about what makes AI decisions trustworthy.
Name one consequence of data privacy violations in AI.
💡 Hint: Consider the implications for users.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does explainability in AI primarily foster?
💡 Hint: Consider the importance of understanding AI decisions.
True or False: Robustness refers to AI systems' ability to withstand adversarial attacks.
💡 Hint: Think of a system that can handle unexpected challenges.
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Challenge Problems
Push your limits with advanced challenges
Propose a robust AI model framework that addresses both explainability and fairness.
💡 Hint: Think about model types that are inherently more understandable.
Analyze a recent AI system deployment that faced backlash due to privacy issues. What lessons can be learned?
💡 Hint: Review incidents where user data was compromised and how they could have been avoided.
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