32.17.2. Transparency and Accountability

Try these first

1. 1.

   What does transparency in AI mean?

   Hint

   Think about how well we can see the reasons behind decisions.

2. 2.

   Define accountability in the context of AI.

   Hint

   Who is responsible if things go wrong?

3. 3.

   What is Explainable AI (XAI)?

   • A AI model that functions without human oversight
   • AI methods for understanding decision-making
   • An AI that predicts outcomes

   Hint

   It clarifies the workings of AI.

4. 4.

   True or False: Accountability ensures there are no consequences for AI mistakes.

   • True
   • False

   Hint

   Think about who is responsible for AI outcomes.

5. 5.

   Provide a detailed explanation of how failure to implement transparent AI could impact a civil engineering project.

   Hint

   Think about the effects on communication and trust.

6. 6.

   Analyze the effects of having insufficient audit trails in an AI-driven project.

   Hint

   Consider what audit trails are meant to accomplish in terms of decision-making clarity.