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Free Artificial Intelligence Governance Professional Practice Questions

Question # 61

You are an engineer that developed an AI-based ad recommendation tool.

Which of the following should be monitored to evaluate the tool ' s effectiveness?

Options:

A.  

Output data, to assess the delta between the prediction and actual ad clicks.

B.  

Algorithmic patterns, to show the model has a high degree of accuracy.

C.  

Input data, to ensure the ads are reaching the target audience.

D.  

GPU performance, to evaluate the tool ' s robustness.

Discussion 0
Question # 62

Which of the following considerations is the most important in mitigating the potential of bias in training and testing data?

Options:

A.  

Using privacy-enhancing tools to protect the data.

B.  

Validating that the data is representative.

C.  

Receiving explicit consent to use the data.

D.  

Assessing the sufficiency of the third-party data.

Discussion 0
Question # 63

What is the best method to proactively train an LLM so that there is mathematical proof that no specific piece of training data has more than a negligible effect on the model or its output?

Options:

A.  

Clustering.

B.  

Transfer learning.

C.  

Differential privacy.

D.  

Data compartmentalization.

Discussion 0
Question # 64

What is the technique to remove the effects of improperly used data from an ML system?

Options:

A.  

Data cleansing.

B.  

Model inversion.

C.  

Data de-duplication.

D.  

Model disgorgement.

Discussion 0

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