Practice Ethical Issues In Civil Ai Applications (32.17.1) - , AI-Driven Decision-Making in Civil Engineering Projects

Practice: Ethical Issues in Civil AI Applications

Lesson 32.17.132, AI-Driven Decision-Making in Civil Engineering Projects

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9 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
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6 sample questions

Question 1.
What does bias in AI systems refer to?
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Think about how data can affect decision-making.
Question 2.
Define explainable AI.
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What does it mean to explain AI's actions?
3Question 3.
What does AI bias refer to?
- Unbiased decision-making
- Unfair outcomes based on data
- Transparency
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Think about how existing data can shape AI decisions.
4Question 4.
True or False: Explainable AI helps in understanding AI's decisions.
- True
- False
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Recall what XAI aims to achieve.
Question 5.
Analyze a civil project where AI decisions led to community pushback due to perceived bias. Discuss what went wrong and propose how to address these concerns ethically.
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Reflect on the importance of community engagement.
Question 6.
Consider a scenario where an AI algorithm fails to consider a demographic group leading to legal ramifications. What steps should project managers take to rectify this?
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Think about accountability measures in project management.

5 more questions in this section. Enroll free to practise them all.