AI-900: Achieving Reliable and Safe AI for Self-Driving Cars

Building trustworthy autonomous vehicles demands adhering to principles like Microsoft’s guidelines for responsible AI. A focus on reliability and safety ensures self-driving cars operate consistently in all circumstances.

Question

When developing an AI system for self-driving cars, the Microsoft for responsible AI should be applied to ensure consistent operation system during unexpected circumstances.

A. Inclusiveness
B. Accountability
C. Reliability and safety
D. Fairness

Answer

C. Reliability and safety

Explanation

The correct answer is C. Reliability and safety.

Reliability and safety is one of the six principles of responsible AI that Microsoft follows and advocates. Reliability and safety means that AI systems should perform reliably and safely under normal and unexpected conditions, and that potential risks and harms should be anticipated and mitigated. Reliability and safety is especially important for developing an AI system for self-driving cars, as it involves critical aspects such as human lives, traffic rules, environmental factors, and ethical dilemmas. An AI system for self-driving cars should be able to handle complex and dynamic scenarios, avoid accidents and errors, and ensure the security and well-being of the passengers, pedestrians, and other road users. Therefore, applying the principle of reliability and safety to the development of an AI system for self-driving cars can help ensure consistent operation system during unexpected circumstances.

Reliability and safety: to build trust, it’s critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.

References

Microsoft Docs > Learn > Browse > Identify guiding principles for responsible 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.