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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in AI?
💡 Hint: Think about how fairness is affected in AI decisions.
Question 2
Easy
Explain what is meant by transparency in AI.
💡 Hint: Relate it to understanding how decisions are made.
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 the main concern regarding bias in AI?
- It can lead to fair outcomes
- It can cause unfair decisions
- It can improve efficiency
💡 Hint: Think about the impact of using non-representative data.
Question 2
True or False: Explainable AI helps improve accountability in AI processes.
- True
- False
💡 Hint: Consider how transparency leads to accountability.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a framework for an AI-based infrastructure project ensuring ethical considerations are met. What steps are necessary to mitigate bias?
💡 Hint: Think about community involvement and ongoing assessments.
Question 2
Assess the impact of regulatory bodies on an AI-driven civil engineering project. How do these standards influence project efficiency and ethical practice?
💡 Hint: Reflect on how regulatory frameworks guide project execution and decision-making.
Challenge and get performance evaluation