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Artificial Intelligence Governance Professional

Last Update Oct 10, 2024
Total Questions : 100 With Comprehensive Analysis

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Total Questions : 100 With Comprehensive Analysis

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Total Questions : 100

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Artificial Intelligence Governance Professional Questions and Answers

Questions 1

All of the following are common optimization techniques in deep learning to determine weights that represent the strength of the connection between artificial neurons EXCEPT?

Options:

A.

Gradient descent, which initially sets weights arbitrary values, and then at each step changes them.

B.

Momentum, which improves the convergence speed and stability of neural network training.

C.

Autoregression, which analyzes and makes predictions about time-series data.

D.

Backpropagation, which starts from the last layer working backwards.

Questions 2

All of the following are penalties and enforcements outlined in the EU Al Act EXCEPT?

Options:

A.

Fines for SMEs and startups will be proportionally capped.

B.

Rules on General Purpose Al will apply after 6 months as a specific provision.

C.

The Al Pact will act as a transitional bridge until the Regulations are fully enacted.

D.

Fines for violations of banned Al applications will be €35 million or 7% global annual turnover (whichever is higher).

Questions 3

CASE STUDY

Please use the following answer the next question:

ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.

ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data—including applications, policies, and claims—and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed .. human underwriter for final review.

ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.

During the first month when ABC monitors the model for bias, it is most important to?

Options:

A.

Continue disparity testing.

B.

Analyze the quality of the training and testing data.

C.

Compare the results to human decisions prior to deployment.

D.

Seek approval from management for any changes to the model.

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