AI-901: Responsible AI Principles

Responsible AI Principles is one of the skill areas tested on the Azure AI Fundamentals (Foundry refresh) (AI-901) exam. Below are free AI-901 practice questions with worked answers and a concept diagram — each with a plain-language explanation. Practice the first 10 questions of AI-901 free, no signup.

The concept, in one picture

Concept flowMicrosoft's Responsible AI principles
Microsoft's Responsible AI principlesFairnesstreat all groups equitablyReliability & safetyperform safely, consistentlyPrivacy & securityprotect data & accessInclusivenesswork for everyoneTransparencyexplain how it decidesAccountabilitypeople stay responsible

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Sample AI-901 question

You are building an AI-driven help desk app. Which action reflects the Microsoft responsible AI principle of inclusiveness?

  • Encrypt customer records and limit access with role-based permissions.
  • Build the UI to work with screen readers and offer several languages.
  • Assess outputs across demographic groups to lower bias.
  • Document how the model arrives at its predictions.
Explanation

Inclusiveness in Microsoft's responsible AI framework means designing systems that empower and engage everyone, including people with varied abilities, languages, and accessibility requirements. Building a UI that works with screen readers and supports several languages is an inclusiveness action. Encrypting records with role-based access maps to privacy and security; assessing outputs across demographic groups maps to fairness; documenting how the model reaches predictions maps to transparency.

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