Microsoft AI-100 Designing and Implementing an Azure AI Solution 03 31Oct2024 - Practice Quiz

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Question 1 of 30

In the context of developing an AI model for a healthcare application, a data scientist is tasked with ensuring that the model\'s predictions are transparent and explainable to both healthcare professionals and patients. The model uses a complex ensemble of algorithms that combine decision trees and neural networks. Which approach would best enhance the transparency and explainability of the model\'s predictions while adhering to ethical guidelines in healthcare?

Implementing SHAP (SHapley Additive exPlanations) values to quantify the contribution of each feature to the model's predictions.

Using a black-box model without any interpretability tools, as it provides the highest accuracy.

Relying solely on the model's accuracy metrics to justify its use in clinical settings.

Providing a detailed technical report of the model's architecture without simplifying the explanations for end-users.

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