Iapp spoto sure Pass Exam Aigp Pdf by Rohan q90 vce pdf

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Exam Name:	Artificial Intelligence Governance Professional
Exam Code:	AIGP Dumps
Vendor:	IAPP	Certification:	Artificial Intelligence Governance
Questions:	164 Q&A's	Shared By:	rohan

Question 12

All of the following are reasons to deploy a challenger Al model in addition a champion Al model EXCEPT to?

Options:

Provide a framework to consider alternatives to the champion model.

Automate real-time monitoring of the champion model.

Perform testing on the champion model.

Retrain the champion model.

Discussion

Question 13

You are the chief privacy officer of a medical research company that would like to collect and use sensitive data about cancer patients, such as their names, addresses, race and ethnic origin, medical histories, insurance claims, pharmaceutical prescriptions, eating and drinking habits and physical activity.

The company will use this sensitive data to build an Al algorithm that will spot common attributes that will help predict if seemingly healthy people are more likely to get cancer. However, the company is unable to obtain consent from enough patients to sufficiently collect the minimum data to train its model.

Which of the following solutions would most efficiently balance privacy concerns with the lack of available data during the testing phase?

Options:

Deploy the current model and recalibrate it over time with more data.

Extend the model to multi-modal ingestion with text and images.

Utilize synthetic data to offset the lack of patient data.

Refocus the algorithm to patients without cancer.

Discussion

Question 14

What is the best reason for a company adopt a policy that prohibits the use of generative Al?

Options:

Avoid using technology that cannot be monetized.

Avoid needing to identify and hire qualified resources.

Avoid the time necessary to train employees on acceptable use.

Avoid accidental disclosure to its confidential and proprietary information.

Discussion

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Question 15

You are a privacy program manager at a large e-commerce company that uses an Al tool to deliver personalized product recommendations based on visitors' personal information that has been collected from the company website, the chatbot and public data the company has scraped from social media.

A user submits a data access request under an applicable U.S. state privacy law, specifically seeking a copy of their personal data, including information used to create their profile for product recommendations.

What is the most challenging aspect of managing this request?

Options:

Some of the visitor's data is synthetic data that the company does not have to provide to the data subject.

The data subject's data is structured data that can be searched, compiled and reviewed only by an automated tool.

The data subject is not entitled to receive a copy of their data because some of it was scraped from public sources.

Some of the data subject's data is unstructured data and you cannot untangle it from the other data, including information about other individuals.