Table of Contents
Which responsible AI principle requires recording automated decisions?
Gain a clear understanding of Microsoft’s responsible AI principles for the AI-900 certification exam. Learn why transparency is the key principle that requires automated decision processes to be recorded, allowing users to identify why a specific decision was made.
Question
Which principle of responsible AI matches the following requirement? “Automated decision processes must be recorded so that approved users can identify why a decision was made.”
A. Reliability and safety
B. Fairness
C. Privacy and security
D. Transparency
Answer
D. Transparency
Explanation
The principle of responsible AI that matches the requirement is D. Transparency. The core of this principle is ensuring that AI systems are understandable.
The Principle of Transparency
Transparency, sometimes referred to as explainability or interpretability, is a foundational principle of responsible AI. It dictates that people should be able to understand how an AI system arrived at a particular conclusion or decision. The requirement that “automated decision processes must be recorded so that approved users can identify why a decision was made” directly addresses this. By documenting the data, models, and logic used, organizations can provide clear explanations for the AI’s behavior, which is essential for building trust and enabling accountability.
Why Other Principles Are Not the Best Fit
- Reliability and Safety: This principle focuses on ensuring that an AI system operates dependably and does not cause harm. It is about performance and risk management, not the explainability of its decisions.
- Fairness: This principle addresses the need for AI systems to treat all people equitably and avoid biases that could lead to unjust or prejudicial outcomes for specific demographic groups. While transparency can help identify bias, the core focus of fairness is on equitable treatment.
- Privacy and Security: This principle ensures that AI systems are secure and respect user privacy by protecting their data. It is concerned with data protection and access control, not the logic behind a decision.
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