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 tA. 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.
Each of the following steps would support fairness testing by the compliance team during the first month in production EXCEPT?
CASE STUDY
A global marketing agency is adapting a large language model ( " LLM " ) to generate content for an upcoming marketing campaign for a client ' s new product: a hard hat designed for construction workers of any gender to better protect them from head injuries.
The marketing agency is accessing the LLM through an application programming interface ( " API " )developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address Al governance.
The marketing company has:
• Entered into a contract with the technology company with suitable representations and warranties.
• Completed an impact assessment on the LLM for this intended use.
• Built technical guidance on how to measure and mitigate bias in the LLM.
• Enabled technical aspects of transparency, explainability, robustness and privacy.
• Followed applicable regulatory requirements.
• Created specific legal statements and disclosures regarding the use of the Al on its client ' s advertising.
The technology company has:
• Provided guidance and resources to developers to address environmental concerns.
• Build technical guidance on how to measure and mitigate bias in the LLM.
• Provided tools and resources to measure bias specific to the LLM.
• Enabled technical aspects of transparency, explainability, robustness and privacy.
• Mapped and mitigated potential societal harms and large-scale impacts.
• Followed applicable regulatory requirements and industry standards.
• Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.
The agency has taken governance actions such as:
Conducting an impact assessment
Providing legal disclosures
Enabling bias mitigation and explainability
Complying with regulatory requirements
Which of the following should be included in the marketing company’s disclosures about the use of the LLM EXCEPT?
Scenario:
An enterprise is evaluating multiple third-party generative AI tools to integrate into its platform. As part of its AI governance policy, it is assessing themost effective methodsto reduce risks related to bias, data misuse, and liability when using third-party solutions.
All of the following are commonly adopted processes and policies in reducing potential risks introduced by third-party AI tools or applications EXCEPT:
CASE STUDY
Please use the following to answer the next question:
A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most likely to 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 to a radiologist for secondary review pursuant to agreed-upon criteria such as a confidence score below a threshold.
To date, the healthcare network has:
Defined its AI ethical principles
Conducted discovery to identify the intended uses and success criteria for the system
Established an AI risk committee
Assembled a cross-functional team with clear roles and responsibilities
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. It also intends to retain a large consulting firm to supplement its small data science team and 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 AI solution?
TESTED 18 Oct 2026
