Microsoft Azure AI Fundamentals Responsible AI 1 — Questions and Answers
Question 1: Which Microsoft Responsible AI principle states that AI systems should be understandable and their decisions explainable?
- Fairness
- Transparency (Correct answer)
- Accountability
- Reliability
Correct answer: Transparency
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?
- Unauthorized access to AI systems
- AI models treating individuals or groups inequitably based on protected characteristics (Correct answer)
- Models running too slowly in production
- Excessive compute costs in AI training
Correct answer: AI models treating individuals or groups inequitably based on protected characteristics
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?
- Inclusiveness
- Privacy and Security
- Reliability and Safety (Correct answer)
- Accountability
Correct answer: Reliability and Safety
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?
- 4
- 5
- 6 (Correct answer)
- 8
Correct answer: 6
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?
- AI systems must be open-source
- People and organizations must take responsibility for AI systems and their impact (Correct answer)
- AI must always defer to human decisions
- All AI training data must be publicly disclosed
Correct answer: People and organizations must take responsibility for AI systems and their impact
The Accountability principle holds people and organizations responsible for the design, deployment, and outcomes of their AI systems.
Question 6: Which Responsible AI principle focuses on ensuring AI benefits and is accessible to all people, regardless of ability?
- Transparency
- Inclusiveness (Correct answer)
- Privacy & Security
- Reliability & Safety
Correct answer: Inclusiveness
The Inclusiveness principle requires AI systems to be designed to empower everyone, including people with disabilities, and avoid excluding groups of people.
Microsoft Azure AI Fundamentals Responsible AI 1
Which Microsoft Responsible AI principle states that AI systems should be understandable and their decisions explainable?