Discover how ensuring representative datasets align with Microsoft’s transparency principle in responsible AI. Learn why diverse training data promotes transparency in AI systems.
Table of Contents
Question
You are building an AI system. Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?
A. Ensure that all visuals have an associated text that can be read by a screen reader.
B. Enable autoscaling to ensure that a service scales based on demand.
C. Provide documentation to help developers debug code.
D. Ensure that a training dataset is representative of the population.
Answer
D. Ensure that a training dataset is representative of the population.
Explanation
To adhere to the Microsoft transparency principle for responsible AI, you should include option D: Ensure that a training dataset is representative of the population. This ensures that the dataset used to train the AI system reflects the diverse characteristics of the intended user population, promoting transparency in how the system is trained and the data it operates upon.
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