Table of Contents
Which responsible AI principle governs access to personal data?
Prepare for your AI-900 exam by learning which responsible AI principle mandates that personal data is visible only to approved users. Understand the definition of the privacy and security principle and how it differs from transparency, fairness, and reliability in Microsoft’s AI framework.
Question
Which principle of responsible AI matches the following requirement? “Personal data must be visible only to approved users only.”
A. Transparency
B. Fairness
C. Reliability and safety
D. Privacy and security
Answer
D. Privacy and security
Explanation
The principle of responsible AI that matches the requirement is D. Privacy and security. This principle is centered on safeguarding data and respecting user privacy throughout the AI system’s lifecycle.
The Principle of Privacy and Security
The requirement that “Personal data must be visible only to approved users” is a direct application of the privacy and security principle. This principle mandates that AI systems must be designed to protect personal and sensitive information from being exposed to unauthorized individuals or systems. Key aspects of this principle include:
- Data Governance: Implementing strong data governance and access control policies.
- Confidentiality: Ensuring that data is not made available or disclosed to unauthorized individuals, entities, or processes.
- Data Protection: Complying with privacy laws and standards to protect user data from misuse.
Why Other Principles Are Not the Best Fit
- Transparency: This principle focuses on making AI systems understandable and explainable. It is concerned with why a decision was made, not who can view the data used to make it.
- Fairness: This principle aims to prevent AI systems from creating biased or unjust outcomes for different groups of people. While data is involved, the primary focus is on equitable treatment, not access control.
- Reliability and Safety: This principle ensures that an AI system performs dependably as intended and does not create unsafe situations. Its focus is on operational integrity and preventing harm, rather than data confidentiality.
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.