Explore how Microsoft’s reliability and safety principle in responsible AI addresses handling unusual or missing values, ensuring system reliability and safety in diverse data scenarios.
Table of Contents
Question
To complete the sentence, select the appropriate option in the answer area.
The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft __________ principle for responsible AI.
A. inclusiveness
B. privacy and security
C. reliability and safety
D. transparency
Answer
C. reliability and safety
Explanation
The handling of unusual or missing values aligns with the Microsoft guiding principle for responsible AI, option C: reliability and safety. It involves ensuring the system can manage unexpected inputs, preserving reliable and safe operations despite anomalies or missing data.
Reliability and safety: AI systems need to be reliable and safe in order to be trusted. It is important for a system to perform as it was originally designed and for it to respond safely to new situations. Its inherent resilience should resist intended or unintended manipulation. Rigorous testing and validation should be established for operating conditions to ensure that the system responds safely to edge cases, and A/B testing and champion/challenger methods should be integrated into the evaluation process. An AI system’s performance can degrade over time, so a robust monitoring and model tracking process needs to be established to reactively and proactively measure the model’s performance and retrain it, as necessary, to modernize it.
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