Practice Ethical Issues in Civil AI Applications - 32.17.1 | 32, AI-Driven Decision-Making in Civil Engineering Projects | Robotics and Automation - Vol 3
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32.17.1 - Ethical Issues in Civil AI Applications

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does bias in AI systems refer to?

💡 Hint: Think about how data can affect decision-making.

Question 2

Easy

Define explainable AI.

💡 Hint: What does it mean to explain AI's actions?

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 does AI bias refer to?

  • Unbiased decision-making
  • Unfair outcomes based on data
  • Transparency

💡 Hint: Think about how existing data can shape AI decisions.

Question 2

True or False: Explainable AI helps in understanding AI's decisions.

  • True
  • False

💡 Hint: Recall what XAI aims to achieve.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

💡 Hint: Reflect on the importance of community engagement.

Question 2

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?

💡 Hint: Think about accountability measures in project management.

Challenge and get performance evaluation