Drag and Drop Question Match the principles of responsible AI to the appropriate descriptions. To answer, drag the appropriate principle from the column on the left to its description on the right…

Submitted by kwame.gh· Mar 30, 2026Describe Fundamental AI Concepts - specifically identifying and applying Microsoft's core principles of Responsible AI (Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, Accountability)

Question

Drag and Drop Question Match the principles of responsible AI to the appropriate descriptions. To answer, drag the appropriate principle from the column on the left to its description 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. Answer:

Exhibit

Options

1Fairness
2Inclusiveness
3Privacy and security
4Reliability and safety

Explanation

The four principles of Microsoft's Responsible AI framework each address distinct concerns: Fairness ensures AI systems treat all people equitably without bias based on characteristics like gender or race; Inclusiveness ensures AI empowers and engages everyone, including people with disabilities; Privacy and Security ensures data is protected and AI systems respect user privacy; Reliability and Safety ensures AI systems perform as intended without causing harm, even in unexpected situations. These definitions align directly with Microsoft's published Responsible AI guidelines, which form the foundation for AI-900 certification content.

Topics

#Responsible AI#Microsoft AI Principles#AI Ethics#Azure AI Fundamentals

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