Practice Ethical Use Of Ai In Hazard Prediction (20.14.2) - Applications in Geotechnical Engineering and Slope Stability Analysis

Practise this section

9 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is bias in AI?
Show hintHide hint
Think about data representation.
Question 2.
Why is transparency important?
Show hintHide hint
Focus on understanding and acceptance.
3Question 3.
What is important to avoid in AI datasets?
- Homogeneity
- Diversity
- Consistency
Show hintHide hint
Think about how data represents different groups.
4Question 4.
True or False: Transparency in AI systems is optional.
- True
- False
Show hintHide hint
Remember the role of users trusting the system.
Question 5.
Analyze a situation where a biased AI system led to adverse consequences in hazard prediction. What measures could have been taken to prevent this?
Show hintHide hint
Focus on past examples and key measures like data diversity.
Question 6.
Propose a framework for implementing accountability in AI hazard prediction systems. What challenges might arise?
Show hintHide hint
Consider the complexity of current systems.

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