Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Which Microsoft principle for responsible AI addresses the handling of unusual or missing values?

1. Transparency

2. Fairness

3. Reliability and safety

4. Privacy and security

The correct answer is: Reliability and safety

The principle that addresses the handling of unusual or missing values is Reliability and safety. This principle emphasizes the importance of ensuring that AI systems can handle unexpected situations and data anomalies effectively. This includes identifying missing or outlier data during the data preparation phase and being resilient to these inconsistencies during the operational phase. Reliability in AI systems means they should perform consistently under various conditions and input scenarios. Therefore, appropriate methods must be employed to deal with unusual or missing data in order to maintain the integrity and accuracy of the AI's outputs. This principle plays a critical role in maintaining user trust and ensuring that the AI system functions effectively in real-world applications. While the other principles are vital in their own regard—such as transparency relating to explainability of the AI's decisions, fairness addressing bias, and privacy focusing on data protection—they do not specifically emphasize handling unusual or missing values as directly as the Reliability and safety principle does.