Microsoft Azure AI Fundamentals (AI-900) Practice Exam

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Prepare for the Microsoft Azure AI Fundamentals certification with flashcards and multiple-choice questions. Enhance your understanding with helpful hints and explanations. Get ready for your certification success!

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Which principle focuses on making AI systems safe and reliable for users?

Responsible AI
Algorithmic Fairness
Data Integrity
Transparency

The correct answer is: Responsible AI

The principle that primarily focuses on making AI systems safe and reliable for users is Responsible AI. This principle encompasses several key aspects to ensure that AI technologies are designed, developed, and deployed in a manner that is ethical and beneficial to society. Responsible AI includes considerations such as fairness, accountability, and transparency, as well as ensuring that systems are robust and secure against failures or misuse. This principle emphasizes the importance of understanding the potential risks associated with AI technologies and taking proactive steps to mitigate those risks, ultimately fostering trust in AI applications. By adhering to Responsible AI practices, organizations strive to develop solutions that not only perform well but also prioritize the well-being and safety of users, ensuring that their interactions with AI systems are positive and reliable.