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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does accountability mean in the context of AI?
💡 Hint: Think about who is responsible when an AI makes a mistake.
Question 2
Easy
Name one framework that supports accountability in AI.
💡 Hint: Consider documents or groups that serve to clarify responsibilities.
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 measure of AI performance
- Responsibility for AI outcomes
- A type of AI model
💡 Hint: Consider who answers for the AI's mistakes.
Question 2
True or False: Model Cards are important for transparency in AI.
- True
- False
💡 Hint: Think about what they document.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a framework that outlines accountability measures for an AI health monitoring system. Include stakeholders and outcome measures.
💡 Hint: Consider who interacts with the system and how they impact its use.
Question 2
Analyze how a lack of accountability can affect public trust in AI technologies. Provide real-life examples of AI failures that lacked accountability.
💡 Hint: Think about societal consequences and trust issues related to transparency.
Challenge and get performance evaluation