32.10.1. Data Availability and Quality

Try these first

1. 1.

   What is data quality?

   Hint

   Think about what makes data useful for AI.

2. 2.

   List one challenge related to data availability.

   Hint

   Consider issues at construction sites.

3. 3.

   What is the consequence of using biased data in AI models?

   • A. Accurate predictions
   • B. Skewed results
   • C. High reliability

   Hint

   Think about how bias influences results.

4. 4.

   True or False: Data integrity is less important than data availability.

   • True
   • False

   Hint

   Reflect on the definitions of both terms.

5. 5.

   How would you design a data collection strategy to ensure high data quality in civil engineering projects? Outline your steps.

   Hint

   Consider the elements of good data practices.

6. 6.

   Evaluate the impact of a project that relied on biased datasets for AI decision-making. What were the key results?

   Hint

   Think about the importance of data diversity.