Microsoft’s Guiding Principles for AI emphasize reliability and safety for developing self-driving car AI systems that operate consistently even in unexpected circumstances. Learn why this principle is crucial for autonomous vehicle AI.
Table of Contents
Question
You are developing an AI system for self-driving cars. Which of the Microsoft Guiding Principle for AI you should be applying to ensure consistent operation of the system during unexpected circumstances. Select the correct option.
A. Privacy and security.
B. Reliability and safety.
C. Fairness.
D. accountability.
E. Inclusiveness
Answer
B. Reliability and safety.
Explanation
When developing an AI system for self-driving cars, the most important Microsoft Guiding Principle to apply is reliability and safety. Here’s why:
Self-driving cars operate in complex, ever-changing real-world environments. Unexpected situations like sudden traffic changes, road hazards, or extreme weather are inevitable. The AI controlling the vehicle must be able to handle these circumstances safely and consistently every time.
Microsoft’s reliability and safety principle states that AI systems should perform reliably, safely, and consistently under normal and unexpected conditions. Following this guidance ensures the self-driving AI will make safe decisions to protect passengers and others on the road, even when encountering novel scenarios it wasn’t specifically trained for.
While the other Microsoft AI principles like privacy, fairness, accountability and inclusiveness are also important considerations, reliability and safety is paramount for an application as high-stakes as autonomous driving, where system failures or inconsistencies could cause accidents, injuries or worse. Designers must prioritize creating a robust, dependable and secure system above all else.
So in summary, reliability and safety (option B) is the most essential Microsoft Guiding Principle to apply when developing self-driving car AI to ensure it operates consistently and safely at all times, especially when the unexpected happens. The AI must unfailingly make prudent decisions to safeguard human lives.
When developing an AI system for self-driving cars, ensuring consistent operating during unexpected circumstances falls under the principle of Reliability and safety. This principle emphasizes that AI systems should perform safely and dependably, especially in critical scenarios like autonomous driving.
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.