When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable. This is an example of which Microsoft guiding principle for responsible AI?
A is the answer.
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.
Provided answer is correct.
Transparency is one of the guiding principles for responsible AI. It emphasizes the importance of making AI systems explainable and understandable to users and stakeholders. In the given scenario, designing an AI system to assess loan approvals and ensuring that the factors used in the decision-making process are explainable aligns with the principle of transparency. By providing transparency, users and stakeholders can understand how the AI system makes decisions and trust its outcomes.(Chat GPT)
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