Which of the following best describes the concept of 'AI explainability' (XAI) in the context of regulatory compliance and public trust, especially for black-box models?
Question 2
In the context of AI governance, what is the primary purpose of conducting a 'data impact assessment' (DIA) before deploying an AI system that processes personal or sensitive information?
Question 3
Which of the following organizational structures or roles is most effective in bridging the gap between technical AI development teams and legal/ethics departments to ensure responsible AI practices are integrated throughout the AI lifecycle?
Question 4
Consider an AI system designed to assist judges in sentencing decisions. Which of the following governance mechanisms is most crucial for ensuring fairness and preventing algorithmic bias in such a high-stakes application?
Question 5
What is the primary objective of 'red teaming' an AI system in the context of advanced AI governance?
