30.7. Challenges in AI and ML Implementation in Civil Engineering

Try these first

1. 1.

   What is a labelled dataset?

   Hint

   Think about what is needed to train a model.

2. 2.

   Name one data challenge in AI.

   Hint

   Consider what is necessary to teach an AI system.

3. 3.

   What are the challenges related to data in AI implementation?

   • High computational requirements
   • Scarcity and inconsistency in datasets
   • Interdisciplinary conflicts

   Hint

   Think about data quality for AI systems.

4. 4.

   True or False: High computing power is not necessary for AI and ML applications.

   • True
   • False

   Hint

   Consider what is needed to run deep learning models.

5. 5.

   Evaluate how inadequate data can lead to safety failures in construction projects. Propose solutions to mitigate this risk.

   Hint

   Consider realistic methods of gathering accurate data.

6. 6.

   Discuss the potential ethical ramifications of implementing biased AI systems in civil engineering. Provide examples and remedies.

   Hint

   Think about real-life scenarios where bias could affect safety.