Practice Case Study 2: AI-Based Bridge Monitoring - 34.10.2 | 34. Ethical Considerations in the Use of Automation | Robotics and Automation - Vol 3
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Case Study 2: AI-Based Bridge Monitoring

34.10.2 - Case Study 2: AI-Based Bridge Monitoring

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does AI in bridge monitoring primarily do?

💡 Hint: Think about what AI systems are designed to analyze.

Question 2 Easy

Describe one ethical concern related to biased data in AI.

💡 Hint: Consider the consequences of incorrect data analysis.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main ethical concern regarding AI-based bridge monitoring?

Data security
Data bias
Cost efficiency

💡 Hint: Focus on how data quality affects AI decisions.

Question 2

True or False: Limited data sources can improve the accuracy of AI assessments.

True
False

💡 Hint: Think about the implications of insufficient data.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are tasked with ensuring the integrity of a new AI bridge monitoring system. Outline the steps you would take to gather diverse data and assess for biases.

💡 Hint: Think about what types of data would be beneficial for a complete analysis.

Challenge 2 Hard

Evaluate a case where biased AI decisions led to a bridge failure. What lessons can be learned about data and ethical responsibility?

💡 Hint: Evaluate the outcomes and think about what could have been done differently.

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