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AI-900: Responsible AI Principles Matching Requirements

Understand the alignment of responsible AI principles with system requirements. Explore how fairness, privacy, security, and transparency cater to ethical AI decision-making.

Question

DRAG DROP -Match the principles of responsible AI to appropriate requirements. To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Select and Place:

Principles:

  • Fairness
  • Privacy and security
  • Reliability and safety
  • Transparency

Answer Area:

  • The system must not discriminate based on gender, race.
  • Personal data must be visible only to approve
  • Automatically decision-making processes must be reordered so that approved users can identify why a decision was made.

Answer

  • Fairness: The system must not discriminate based on gender, race.
  • Privacy and security: Personal data must be visible only to approve
  • Transparency: Automatically decision-making processes must be reordered so that approved users can identify why a decision was made.

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.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump