32.10. Challenges and Limitations

Try these first

1. 1.

   What is meant by 'data quality' in the context of AI?

   Hint

   Think about the importance of data in making predictions.

2. 2.

   What are black-box models?

   Hint

   Consider what transparency means in decision-making.

3. 3.

   Why is data quality important in AI models?

   • It increases costs
   • It decreases efficiency
   • It affects predictions

   Hint

   Think about what happens when data is not reliable.

4. 4.

   True or False: Black box models are transparent and easily understood.

   • True
   • False

   Hint

   Consider the meaning of transparency in AI.

5. 5.

   Propose a comprehensive strategy for ensuring data quality in an upcoming infrastructure project that employs AI. Include steps for data sourcing, validation, and bias mitigation.

   Hint

   Think about how you can involve different roles for a better data strategy.

6. 6.

   Develop a framework for addressing ethical and legal concerns related to AI use in civil engineering projects, considering accountability and privacy issues.

   Hint

   Consider what organizations are currently doing to address these issues.