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AI-900: Understanding Robustness Key Responsible AI Principle

Explore the significance of the Robustness principle in AI, focusing on the importance of designing AI solutions to resist harmful manipulation and ensure ethical practices.

Table of Contents

Question

What is the name of the responsible AI principle that directs AI solutions design to include resistance to harmful manipulation?

A. Privacy and security
B. Transparency
C. Inclusiveness
D. Accountability
E. Reliability and safety
F. Fairness

Answer

Reliability and Safety.

Explanation

Microsoft recognizes six principles of responsible AI: Fairness, Reliability and safety, Privacy and security, Transparency, Inclusiveness and Accountability.The principle of Reliability and safety directs AI solutions to respond safely to non-standard situations and to resist harmful manipulations.

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.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump