IAPP AIGP Exam Questions
Artificial Intelligence Governance Professional (Page 4 )

Updated On: 21-Feb-2026

CASE STUDY
Please use the following to answer the next question:

A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.

The data processed by the AI system would be classified as:

  1. Non-sensitive personal data, since it does not reveal information about health, gender or race.
  2. Organizational data, since it is part of the authentication process.
  3. Non-personal data, as long as it is not linked to a user ID.
  4. Special category data, if it can be used to uniquely identify a person.

Answer(s): D

Explanation:

Behavioral biometric data used to uniquely identify individuals is considered special category data due to its sensitivity and potential impact on privacy.



Which of the following typical approaches is a large organization least likely to use to responsibly train stakeholders on AI terminology, strategy and governance?

  1. Providing all technical employees education on AI development so they can retool and participate in the development of AI systems.
  2. Providing training on AI ethics, based on the extent to which the organization seeks to promote a responsible AI culture.
  3. Providing role-specific training, based on whether the organization uses a centralized, federated or decentralized governance mode.
  4. Providing information and education to customers and users to understand the capabilities and limitations of the AI tools with which they interact.

Answer(s): A

Explanation:

Large organizations are less likely to train all technical employees extensively on AI development, as this is resource-intensive and not necessary for all roles; instead, they focus on targeted, role-specific training aligned with governance and ethical goals.



All of the following are elements of establishing a global AI governance infrastructure EXCEPT:

  1. Providing training to foster a culture that promotes ethical behavior.
  2. Creating policies and procedures to manage third-party risk.
  3. Understanding differences in norms across countries.
  4. Publicly disclosing ethical principles.

Answer(s): D

Explanation:

While transparency is important, publicly disclosing ethical principles is not a core element of establishing the internal infrastructure for global AI governance, which focuses more on policy, culture, and managing risks.



In the context of increasing use of AI in business operations, your company seeks to update its data privacy policies. You are tasked with evaluating the current policies and proposing necessary updates to address AI- specific risks regarding protection of personal data.

Which of the following would be the most effective addition to the company's data privacy policies?

  1. Request final review of the policy by senior management.
  2. Request regular audits of the AI Models.
  3. Prohibit the use of AI tools within the company.
  4. Require security training to employees before using AI systems.

Answer(s): B

Explanation:

Regular audits of AI models help ensure ongoing compliance with data privacy regulations and identify AI- specific risks related to personal data protection.



Your management consulting firm is planning to use an AI system to support its employees.

Which category of operator applies to the firm in this context?

  1. Authorized representative.
  2. Distributor.
  3. Provider.
  4. Deployer.

Answer(s): D

Explanation:

The firm, by using the AI system to support its employees, acts as the deployer responsible for the operation and oversight of the AI system in its environment.






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