AIGP Exam Details

  • Exam Code
    :AIGP
  • Exam Name
    :Artificial Intelligence Governance Professional (AIGP)
  • Certification
    :IAPP Certifications
  • Vendor
    :IAPP
  • Total Questions
    :164 Q&As
  • Last Updated
    :May 24, 2026

IAPP AIGP Online Questions & Answers

  • Question 51:

    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 theaccuracy, 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. Toprovide a reminder of a right appeal.
    B. Tosolicit on-going feedback on model performance.
    C. Toapply their own judgment to the initial assessment.
    D. Toensure they provide transparency applicants on the model.

  • Question 52:

    Retraining an LLM can be necessary for all of the following reasons EXCEPT?

    A. To minimize degradation in prediction accuracy due tochanges in data.
    B. Adjust the model's hyper parameters to a specific use case.
    C. Account for new interpretations of the same data.
    D. To ensure interpretability of the model's predictions.

  • Question 53:

    A leading software development company wants to integrate AI-powered chatbots into their customer service platform. After researching various AI models in the market which have been developed by third-party developers, they're

    considering two options:

    Option A - an open-source language model trained on a vast corpus of text data and capable of being trained to respond to natural language inputs.

    Option B - a proprietary, generative AI model pre-trained on large data sets, which uses transformer-based architectures to generate human-like responses based on multimodal user input.

    Option A would be the best choice for the company because?

    A. It is less expensive to run
    B. It may be better suited for applications requiring customization.
    C. It can handle voice commands and is more suitable for phone-based customer support.
    D. It is built for large-scale, complex dialogues and would be more effective in handling high-volume customer inquiries.

  • Question 54:

    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.

  • Question 55:

    Scenario:

    An organization is building a compliance program to ensure responsible AI deployment. It aims to align operations with AI risk frameworks and mitigate legal, ethical, and operational risks, while still promoting innovation.

    Which of the following would be theleast likelystep for an organization to take when designing an integrated compliance strategy for responsible AI?

    A. Meeting with and obtaining approval from senior management
    B. Launching a survey to understand the concerns and interests of potentially impacted stakeholders
    C. Consulting experts to consider the ethical principles underpinning the use of AI within the organization
    D. Employing a new software platform to modernize existing compliance processes across the organization

  • Question 56:

    What is the most significant risk of deploying an AI model that can create realistic images and videos?

    A. Copyright infringement.
    B. Security breaches.
    C. Downstream harms.
    D. Output cannot be protected.

  • Question 57:

    CASE STUDY

    Please use the following answer the next question:

    A local police department in the United States procured an Al system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen

    goods). The Al system works by surveilling the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage

    score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender.

    The police department retained a third-party consultant assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system's accuracy rates, the diversity of their training data

    and how their system works. The consultant determined that the first vendor's system has a higher accuracy rate and based on this information, recommended this vendor to the police department.

    The police department chose the first vendor and implemented its Al system. As part of the implementation, the department and consultant created a usage policy for the system, whichincludes training police officers on how the system works

    and how to incorporate it into their investigation process.

    The police department has now been using the Al system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the

    individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the Al system gives a score of at least 90% and proceed directly with an arrest.

    What is the best reason the police department should continue to perform investigations even if the Al system scores an individual's likelihood of criminal activity at or above 90%?

    A. Because the department did not perform an impact assessment for this intended use.
    B. Because Al systems that affect fundamental civil rights should not be fully automated.
    C. Because investigations may identify additional individuals involved in the crime.
    D. Because investigations may uncover information relevant to sentencing.

  • Question 58:

    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.

    The best approach to enable a customer who wants information on the Al model's parameters for underwriting purposes is to provide?

    A. A transparency notice.
    B. An opt-out mechanism.
    C. Detailed terms of service.
    D. Customer service support.

  • Question 59:

    Which of the following elements of feature engineering is most important to mitigate the potential bias in an Al system?

    A. Feature selection.
    B. Feature validation.
    C. Feature transformation.
    D. Feature importance analysis.

  • Question 60:

    What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

    A. GPUs run many tasks concurrently, resulting in faster processing.
    B. GPUs can access memory quickly, resulting in lower latency than CPUs.
    C. GPUs can run every task on a computer, making them more robust than CPUs.
    D. The number of transistors on GPUs doubles every two years, making thechips smaller and lighter.

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