AIGP Practice Test

AIGP Practice Test practice questions, page 7 of 9, with answer review and explanations.

Question 31

A US company has developed an AI system, CrimeBuster 7909, that collects information about incarcerated individuals that predicts whether someone is likely to commit another crime if released from prison. When considering expanding to the EU market, this type of technology would:

  1. Require the company to register the tool with the EU database.
  2. Require the application of privacy enhancing technologies.
  3. Be subject to approval by the relevant EU authority.
  4. Be banned under the EU AI Act.

Question 32

Which of the following disclosures is NOT required for an EU organization that developed and deployed a high-risk AI system?

  1. The human oversight measures employed.
  2. How an individual may contest a decision.
  3. The location(s) where data is stored.
  4. The fact that an AI system is being used.

Question 33

In accordance with the EU AI Act, for how long after a high-risk AI system has been placed on the market must the provider keep the relevant documentations at the disposal of the national competent authorities?

  1. 10 years.
  2. 8 years.
  3. 6 years.
  4. 5 years.

Question 34

The OECD’s Ethical AI Governance Framework is a self-regulation model that proposes to prevent societal harms by:

  1. Establishing explainability criteria to ethically source and use data to train AI systems
  2. Defining ethical requirements specific to each industry sector and high-risk AI domain.
  3. Focusing on ethical AI technical design and post-deployment monitoring
  4. Balancing AI innovation with ethical considerations.

Question 35

ISO 42001 International Standard offers guidance for organizations to develop trustworthy AI management systems by:

  1. Requiring specific minimum parameters for key suppliers and key aspects of AI management systems.
  2. Requiring organizations to continuously improve the effectiveness of their AI management systems.
  3. Focusing on high-risk aspects of development of AI management systems.
  4. Explicitly over-riding previously issued and now outdated ISO standards.