Microsoft Azure AI Fundamentals (AI-900) Practice Exam

What is the primary goal of the reliability and safety principle in AI?

1. Ensuring fairness in AI outcomes

2. Preventing bias in decision-making

3. Ensuring consistent operation during unexpected conditions

4. Empowering user control over data

The correct answer is: Ensuring consistent operation during unexpected conditions

The primary goal of the reliability and safety principle in AI focuses on ensuring that AI systems operate consistently and effectively even under unexpected conditions. This means that an AI system should be robust, capable of handling errors, and should continue to perform its intended functions without failure, even if it encounters situations or data that differ from what it was trained on. Reliability in AI also entails maintaining performance levels and safety measures to mitigate risks that might arise from unexpected behaviors or environmental changes. In the context of AI applications, this principle is crucial because AI systems are often deployed in environments where they must operate autonomously, and their decisions can significantly affect human lives or critical systems. Ensuring that an AI behaves predictably and safely is essential for building trust and acceptance among users. The other choices, while important aspects of AI ethics and governance, do not directly relate to the core objective of reliability and safety. Fairness and bias prevention focus on the ethical treatment of data and outcomes produced by AI, while user control over data emphasizes privacy and ownership issues. However, the reliability and safety principle specifically underscores the importance of consistent functionality in unpredictable situations, which is why it is the correct answer in this context.