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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define accountability in the context of AI.
💡 Hint: Think about who bears responsibility in case of an error.
Question 2
Easy
What does transparency mean concerning AI?
💡 Hint: Consider how transparency affects trust in AI.
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
Why is accountability essential in AI?
- It allows AI to make decisions independently.
- It helps assign responsibility for actions taken by AI.
- It increases the performance of AI systems.
💡 Hint: Think about the consequences of an AI failure.
Question 2
True or False: Transparency in AI can aid in building public trust.
- True
- False
💡 Hint: Consider the value of clarity in complex systems.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Discuss the role of random audits and monitoring in ensuring accountability of AI systems.
💡 Hint: Think about how accountability is enforced in other areas of business.
Question 2
Evaluate a scenario where an AI system causes harm due to a design flaw. Who should be held accountable?
💡 Hint: Consider the layers of responsibility involved.
Challenge and get performance evaluation