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Question 13 - D-GAI-F-01 discussion

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What is the purpose of the explainer loops in the context of Al models?

A.
They are used to increase the complexity of the Al models.
Answers
A.
They are used to increase the complexity of the Al models.
B.
They are used to provide insights into the model's reasoning, allowing users and developers to understand why a model makes certain predictions or decisions.
Answers
B.
They are used to provide insights into the model's reasoning, allowing users and developers to understand why a model makes certain predictions or decisions.
C.
They are used to reduce the accuracy of the Al models.
Answers
C.
They are used to reduce the accuracy of the Al models.
D.
They are used to increase the bias in the Al models.
Answers
D.
They are used to increase the bias in the Al models.
Suggested answer: B

Explanation:

Explainer Loops: These are mechanisms or tools designed to interpret and explain the decisions made by AI models. They help users and developers understand the rationale behind a model's predictions.

Importance: Understanding the model's reasoning is vital for trust and transparency, especially in critical applications like healthcare, finance, and legal decisions. It helps stakeholders ensure the model's decisions are logical and justified.

Methods: Techniques like SHAP (Shapley Additive Explanations) and LIME (Local Interpretable Model-Agnostic Explanations) are commonly used to create explainer loops that elucidate model behavior.

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asked 16/09/2024
Ravindra MG
27 questions
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