Transparency — Microsoft Azure AI Fundamentals (AI-900) Practice Questions
Transparency is one of Microsoft's core responsible AI principles and refers to the requirement that AI systems and their limitations be understandable to the people who use and are affected by them. On the AI-900 exam, transparency covers concepts such as explainability of model decisions, clear disclosure when users are interacting with an AI, and documentation of how a model was trained and what data it used. Understanding transparency helps candidates distinguish it from related principles like accountability and fairness in scenario-based questions.
Free questions on transparency
What is the primary focus of responsible AI in Azure?
Free question · easy · full answer + explanation
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