Microsoft Azure AI Fundamentals (AI-900) Practice Exam

A triage bot that prioritizes insurance claims based on injuries illustrates which principle of responsible AI?

1. Reliability and safety

2. Transparency

3. Inclusiveness

4. Fairness

The correct answer is: Reliability and safety

The scenario involving a triage bot that prioritizes insurance claims based on injuries aligns with the principle of reliability and safety. This principle focuses on ensuring that AI systems operate reliably in their intended environments and that they provide consistent and safe outcomes. In the context of a triage bot, reliability is crucial as it affects the accuracy and efficiency of how claims are assessed and prioritized. Ensuring that the bot functions correctly and delivers dependable decisions can help streamline processes and ultimately improve outcomes for individuals seeking support after injuries. In contrast, while transparency is important in making clear how decisions are made, it may not primarily apply in this context, especially since the focus is on the bot's ability to prioritize claims reliably. Inclusiveness aims to ensure that AI systems are accessible and beneficial for diverse groups, but the triage bot's primary function is related to the reliability of its decision-making process rather than inclusiveness itself. Fairness relates to making unbiased decisions and ensuring that individuals are treated equally; while this is an important aspect of a triage system, the core focus here is on the reliability and effectiveness of the AI in delivering accurate and safe prioritization of claims.