Microsoft Azure AI Fundamentals Responsible AI

Question 1

Which Microsoft Responsible AI principle states that AI systems should be understandable and their decisions explainable?

Accepted Answer

Transparency

Answer

The Transparency principle requires that AI systems and their decision-making processes be understandable and explainable to users and stakeholders.

Question 2

What does the Microsoft Responsible AI principle of 'Fairness' primarily aim to prevent?

Accepted Answer

AI models treating individuals or groups inequitably based on protected characteristics

Answer

The Fairness principle aims to ensure AI systems do not produce biased outcomes that disadvantage people based on race, gender, age, or other protected characteristics.

Question 3

Which Microsoft Responsible AI principle requires that AI systems work correctly and safely even in unexpected situations?

Accepted Answer

Reliability and Safety

Answer

The Reliability and Safety principle mandates that AI systems perform as intended, handle failure gracefully, and avoid causing harm in unanticipated scenarios.

Question 4

How many core principles make up Microsoft's Responsible AI framework?

Accepted Answer

6

Answer

Microsoft's Responsible AI framework consists of 6 principles: Fairness, Reliability & Safety, Privacy & Security, Inclusiveness, Transparency, and Accountability.

Question 5

What does the 'Accountability' principle in Microsoft's Responsible AI framework require?

Accepted Answer

People and organizations must take responsibility for AI systems and their impact

Answer

The Accountability principle holds people and organizations responsible for the design, deployment, and outcomes of their AI systems.

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Responsible AI