Explore practical scenarios illustrating Microsoft’s responsible AI principles. Learn how reliability and safety factor in with an insurance triage bot prioritizing claims.
Table of Contents
Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Statement 1: Providing an explanation of the outcome of a credit loan application is an example of the Microsoft transparency principle for responsible AI
Statement 2: A triage bot that prioritizes insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI
Statement 3: An AI solution that is offered at different prices for different sales territories is an example of the Microsoft inclusiveness principle for responsible AI
Answer
Statement 1: Providing an explanation of the outcome of a credit loan application is an example of the Microsoft transparency principle for responsible AI: Yes
Statement 2: A triage bot that prioritizes insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI: No
Statement 3: An AI solution that is offered at different prices for different sales territories is an example of the Microsoft inclusiveness principle for responsible AI: No
Explanation
Box 1: Yes -Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.
Box 2: No -A data holder is obligated to protect the data in an AI system, and privacy and security are an integral part of this system. Personal needs to be secured, and it should be accessed in a way that doesn’t compromise an individual’s privacy.
Box 3: No -Inclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people. Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments.
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