32.17. Ethical AI and Regulatory Frameworks

Try these first

1. 1.

   What is bias in AI?

   Hint

   Think about how fairness is affected in AI decisions.

2. 2.

   Explain what is meant by transparency in AI.

   Hint

   Relate it to understanding how decisions are made.

3. 3.

   What is the main concern regarding bias in AI?

   • It can lead to fair outcomes
   • It can cause unfair decisions
   • It can improve efficiency

   Hint

   Think about the impact of using non-representative data.

4. 4.

   True or False: Explainable AI helps improve accountability in AI processes.

   • True
   • False

   Hint

   Consider how transparency leads to accountability.

5. 5.

   Design a framework for an AI-based infrastructure project ensuring ethical considerations are met. What steps are necessary to mitigate bias?

   Hint

   Think about community involvement and ongoing assessments.

6. 6.

   Assess the impact of regulatory bodies on an AI-driven civil engineering project. How do these standards influence project efficiency and ethical practice?

   Hint

   Reflect on how regulatory frameworks guide project execution and decision-making.