Explore the forefront of responsible AI as Microsoft’s reliability and safety principle takes center stage. Witness the game-changing impact of a triage bot, strategically prioritizing insurance claims based on injuries. Uncover how cutting-edge technology is reshaping reliability and safety in the realm of artificial intelligence.
Table of Contents
Question
An triage bot that prioritizes insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI.
A. Yes
B. No
Answer
A. Yes
Explanation
The correct answer is A. Yes.
An triage bot that prioritizes insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI. This principle states that AI systems should perform reliably and safely under normal and unexpected conditions, and that they should not cause harm or damage to people, property, or the environment.
A triage bot that prioritizes insurance claims based on injuries is an AI system that has a high impact on human lives and well-being, and therefore it needs to be reliable and safe. It needs to accurately assess the severity of the injuries, the urgency of the claims, and the fairness of the compensation. It also needs to handle any errors, exceptions, or edge cases gracefully, without compromising the quality of service or the trust of the customers.
A triage bot that prioritizes insurance claims based on injuries should follow the Microsoft Responsible AI Standard, which provides a framework and a set of best practices for building AI systems according to the six principles of responsible AI. The standard includes 17 goals and 47 practices that cover the entire AI lifecycle, from design and development to deployment and monitoring.
The standard also provides tools and resources to help implement the practices and measure the progress and outcomes of the AI systems. By following the Microsoft Responsible AI Standard, a triage bot that prioritizes insurance claims based on injuries can ensure that it meets the reliability and safety principle, as well as the other five principles of responsible AI.
References
Microsoft Docs > Azure > Cloud Adoption Framework > Adopt > Innovate > Responsible and trusted AI
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.
