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Share Test → Other → AI-900 topic 1 question 20
DRAG DROP -
Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement 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.
Select and Place:
Ans is correct
For me to remember xD.
Fairness = discriminate
Privacy & Security = personal data
Transparency = decision-making
Transparency = should be "recorded"
What is the difference between "fairness" and "inclusion"?
The answer is correct.
on exam july 2023
1. Fairness
2. Privacy and security
3. Transparency
https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#fairness
Fairness is a core ethical principle that all humans aim to understand and apply. This principle is even more important when AI systems are being developed. Key checks and balances need to make sure that the system's decisions don't discriminate or run a gender, race, sexual orientation, or religion bias toward a group or individual.
https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#transparency
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. Snapshots within Azure Machine Learning workspaces support transparency by recording or retraining all training-related assets and metrics involved in the experiment.
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.
caiu no exame do dia 16/06/2023
correct answers
Fairness
Privacy & Security
Transparency
Fairness
Privacy & Security
Transparency
Equity = Fairness
Personal Data = Privacy
Explain/Why = Transparency
Answer is correct
Answers are correct
Is it for azure AI Fundamentals exams preparation
Fairness (not discriminate), Privacy (personal data), Transparency (identify why)
only to approvers ?
The link does not work. Why?
Actually, two links are there, both work:
1. https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
2. https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
Share Test → Other → AI-900 topic 1 question 20
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