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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does accountability mean in AI?
💡 Hint: Think about who is responsible for decisions.
Question 2
Easy
Why is explainability important for AI systems?
💡 Hint: Consider a situation where doctors need to trust AI recommendations.
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
Who should be accountable for decisions made by an AI system?
- Only the developers
- Only the end-users
- Developers and organizations
💡 Hint: Think about the parties involved in AI development.
Question 2
Explainability in AI allows users to:
- True
- False
💡 Hint: Consider why understanding is necessary in critical fields.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a framework for how accountability should be structured in an AI organization. What roles are essential, and how should they interact?
💡 Hint: Consider the different stakeholders involved in AI development.
Question 2
Discuss the potential consequences for an organization that fails to ensure accountability in AI. What implications could arise?
💡 Hint: Reflect on recent news about AI system failures and their aftermath.
Challenge and get performance evaluation