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
    :Jan 18, 2026

IAPP AIGP Online Questions & Answers

  • Question 1:

    The best practice to manage third-party risk associated with AI systems is to create and implement policies that?

    A. Focus on the financial stability of third-party vendors as the primary criterion for risk assessment.
    B. Provide for an appropriate level of due diligence and ongoing monitoring based on the defined risk.
    C. Require third-party AI systems to undergo a comprehensive audit by an external cybersecurity firm every six months.
    D. Focus on the technical aspects of AI systems, such as data security, while ethical risks are addressed through suitable contracts.

  • Question 2:

    All of the following are required for high-risk AI systems under the EU AI Act EXCEPT?

    A. Retaining system-generated logs for at least six months.
    B. Conducting post-market monitoring.
    C. Conducting a conformity assessment.
    D. Publishing a detailed report on the training data used.

  • Question 3:

    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, which includes 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.

    Which Al risk would NOT have been identified during the procurement process based on the categories of information requested by the third-party consultant?

    A. Security.
    B. Accuracy.
    C. Explainability.
    D. Discrimination.

  • Question 4:

    All of the following are potential benefits of using private over public LLMs EXCEPT?

    A. Reduction in time taken for data validation and verification.
    B. Confirmation of security and confidentiality.
    C. Reduction in possibility of hallucinated information.
    D. Application for specific use cases within the enterprise.

  • Question 5:

    A US-based mortgage lender has purchased a chatbot. They plan to have the chatbot collect information from consumers who are interested in loans and offer the consumers 2- 3 different options based on its current pricing and product offerings, which change frequently. This chatbot was initially developed and previously deployed by a Russian airline for booking flights.

    The best option for the part of the process that generates the loan offers is?

    A. Retrieval-Augmented Generation.
    B. Multimodal Generative AI.
    C. Expert System.
    D. Quantum computing

  • Question 6:

    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.

  • Question 7:

    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 publicsites 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, which includes 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.

    When notifying an accused perpetrator, what additional information should a police officer provide about the use of the Al system?

    A. Information about the accuracy of the Al system.
    B. Information about how the accused can oppose the charges.
    C. Information about the composition of the training data of the system.
    D. Information about how the individual was identified by the Al system.

  • Question 8:

    Retrieval-Augmented Generation (RAG) is defined as?

    A. Combining LLMs with private knowledge bases to improve their outputs.
    B. Reducing computational processing requirements of the LLMs.
    C. Applying advanced filtering techniques to the LLMs.
    D. Fine tuning LLMs to minimize biased outputs.

  • Question 9:

    What is the best method to proactively train an LLM so that there is mathematical proof that no specific piece of training data has more than a negligible effect on the model or its output?

    A. Clustering.
    B. Transfer learning.
    C. Differential privacy.
    D. Data compartmentalization.

  • Question 10:

    A US hospital plans to develop an AI that will review available patient data in order to propose an initial diagnosis to licensed physicians. The hospital will implement a policy that requires physicians to consider the AI proposal, but conduct their own physical examinations prior to making a final diagnosis.

    An important ethical concern with this plan is?

    A. Whether patients will receive an economic benefit from the use of AI.
    B. Whether the AI was trained on a representative dataset.
    C. Whether physicians understand how the AI works.
    D. Whether the AI will have an error rate comparable to human physicians.

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