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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does accountability in AI refer to?
💡 Hint: Think about who is responsible for a decision made by a machine.
Question 2
Easy
Why is public trust important for AI systems?
💡 Hint: Consider why people might avoid using something they're skeptical of.
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
What is accountability in AI?
- A. Assigning responsibility for AI systems' outcomes
- B. A measure of algorithm performance
- C. A type of user interface
- D. A programming language used in AI
💡 Hint: Think about the role of people in managing AI technologies.
Question 2
True or False: The black box nature of AI systems simplifies accountability.
- True
- False
💡 Hint: Consider how visibility into a process affects understanding.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Propose a framework that organizations could adopt to ensure accountability in AI systems. Consider the roles of different stakeholders.
💡 Hint: Think of how current teams coordinate in projects and how similar principles could be adapted for AI.
Question 2
Discuss the implications of a lack of accountability in autonomous systems. Who could suffer the consequences?
💡 Hint: Consider real-world examples where technology has failed and the fallout that ensued.
Challenge and get performance evaluation