Exam AI-900 topic 1 question 154 discussion

Actual exam question from Microsoft's AI-900

Question #: 154
Topic #: 1

DRAG DROP
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Match the principles of responsible AI to the appropriate descriptions.

To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

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Suggested Answer:

by Rosviul at March 21, 2023, 8:29 p.m.

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Rosviul

Highly Voted 1 year, 2 months ago

the answers are correct

upvoted 6 times

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zellck

Most Recent 11 months, 2 weeks ago

1. Reliability and safety 2. Privacy and security https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#reliability-and-safety AI systems need to be reliable and safe in order to be trusted. It's 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.

upvoted 3 times

zellck

11 months, 2 weeks ago

https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#privacy-and-security 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. Azure differential privacy protects and preserves privacy by randomizing data and adding noise to conceal personal information from data scientists.

upvoted 1 times

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rdemontis

1 year ago

correct answers

upvoted 3 times

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