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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does transparency in AI mean?
💡 Hint: Think about how well we can see the reasons behind decisions.
Question 2
Easy
Define accountability in the context of AI.
💡 Hint: Who is responsible if things go wrong?
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 Explainable AI (XAI)?
- A AI model that functions without human oversight
- AI methods for understanding decision-making
- An AI that predicts outcomes
💡 Hint: It clarifies the workings of AI.
Question 2
True or False: Accountability ensures there are no consequences for AI mistakes.
- True
- False
💡 Hint: Think about who is responsible for AI outcomes.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Provide a detailed explanation of how failure to implement transparent AI could impact a civil engineering project.
💡 Hint: Think about the effects on communication and trust.
Question 2
Analyze the effects of having insufficient audit trails in an AI-driven project.
💡 Hint: Consider what audit trails are meant to accomplish in terms of decision-making clarity.
Challenge and get performance evaluation