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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?

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.

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 a 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.

Which of the following is the most important reason to train the underwriters on the model prior to deployment?

A.

To provide a reminder of a right appeal.

B.

To solicit on-going feedback on model performance.

C.

To apply their own judgment to the initial assessment.

D.

To ensure they provide transparency applicants on the model.

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

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).

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?

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.

CASE STUDY

Please use the following answer the next question:

A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant Agreed-upon criteria (e.g., a confidence score below a threshold).

To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles andresponsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.

The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network ' s existing data and de-identified data that is licensed from a large US clinical research partner.

Which of the following steps can best mitigate the possibility of discrimination prior to training and testing the Al solution?

A.

Procure more data from clinical research partners.

B.

Engage a third party to perform an audit.

C.

Perform an impact assessment.

D.

Create a bias bounty program.

A French medical research center wishes to develop an AI-based system that will predict the risk of serious diseases based on patients ' genetic data. To do so, it contracts with a technology company and provides it with patients ' data previously obtained by the center during research.

To guarantee compliance when processing special categories of personal data, the medical research center must ensure that?

A.

The AI-based system is designed for the purposes of preventive medicine.

B.

The patients ' health and genetic data is anonymized.

C.

The patients have given explicit consent to using the data.

D.

The technology company is located in the EU and is not cloud-based.

The most important factor in ensuring fairness when training an Al system is?

A.

The architecture and model selection.

B.

The data labeling and classification.

C.

The data attributes and variability.

D.

The model accuracy and scale.

Which stakeholder is responsible for lawful collection of data for the training of the foundational AI model?

A.

The marketing agency.

B.

The tech company.

C.

The data aggregator.

D.

The marketing agency ' s client.

According to the Singapore Model Al Governance Framework, all of the following are recommended measures to promote the responsible use of Al EXCEPT?

A.

Determining the level of human involvement in algorithmic decision-making.

B.

Adapting the existing governance structure algorithmic decision-making.

C.

Employing human-over-the-loop protocols for high-risk systems.

D.

Establishing communications and collaboration among stakeholders.

All of the following may be permissible uses of an Al system under the EU Al Act EXCEPT?

A.

To detect an individual ' s intent for law enforcement purposes.

B.

To promote equitable distribution of welfare benefits.

C.

To implement social scoring.

D.

To manage border control.