Discover the significance of reliability and safety in AI systems. Learn how responsible AI practices ensure accurate and secure predictions, safeguarding against anomalies and missing data!
Table of Contents
Question
Ensuring an AI system does not provide a prediction when important fields contain unusual or missing values is __________ principle for responsible AI.
A. an inclusiveness
B. a privacy and security
C. a reliability and safety
D. a transparency
Answer
C. a reliability and safety
Explanation
Reliability and safety emphasize the need for AI systems to perform consistently and safely. Avoiding predictions when crucial data fields have anomalies or missing values ensures the system’s reliability and prevents potentially erroneous or unsafe outputs.
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.
