IAPP AIGP Study Guide Archives Updated on Aug 12, 2026 [Q104-Q119]

IAPP AIGP Study Guide Archives Updated on Aug 12, 2026 [Q104-Q119]
AIGP IAPP

IAPP AIGP Study Guide Archives Updated on Aug 12, 2026 [Q104-Q119]

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IAPP AIGP Study Guide Archives Updated on Aug 12, 2026

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IAPP AIGP Exam Syllabus Topics:

Topic Details
Topic 1
  • Understanding How Laws, Standards, and Frameworks Apply to AI: This section of the exam measures skills of compliance officers and covers the application of existing and emerging legal requirements to AI systems. It explores how data privacy laws, intellectual property, non-discrimination, consumer protection, and product liability laws impact AI. The domain also examines the main elements of the EU AI Act, such as risk classification and requirements for different AI risk levels, as well as enforcement mechanisms. Furthermore, it addresses the key industry standards and frameworks, including OECD principles, NIST AI Risk Management Framework, and ISO AI standards, guiding organizations in trustworthy and compliant AI implementation.
Topic 2
  • Understanding How to Govern AI Deployment and Use: This section of the exam measures skills of technology deployment leads and covers the responsibilities associated with selecting, deploying, and using AI models in a responsible manner. It includes evaluating key factors and risks before deployment, understanding different model types and deployment options, and ensuring ongoing monitoring and maintenance. The domain applies to both proprietary and third-party AI models, emphasizing the importance of transparency, ethical considerations, and continuous oversight throughout the model’s operational life.
Topic 3
  • Understanding How to Govern AI Development: This section of the exam measures the skills of AI project managers and covers the governance responsibilities involved in designing, building, training, testing, and maintaining AI models. It emphasizes defining the business context, performing impact assessments, applying relevant laws and best practices, and managing risks during model development. The domain also includes establishing data governance for training and testing, ensuring data quality and provenance, and documenting processes for compliance. Additionally, it focuses on preparing models for release, continuous monitoring, maintenance, incident management, and transparent disclosures to stakeholders.
Topic 4
  • Understanding the Foundations of AI Governance: This section of the exam measures skills of AI governance professionals and covers the core concepts of AI governance, including what AI is, why governance is needed, and the risks and unique characteristics associated with AI. It also addresses the establishment and communication of organizational expectations for AI governance, such as defining roles, fostering cross-functional collaboration, and delivering training on AI strategies. Additionally, it focuses on developing policies and procedures that ensure oversight and accountability throughout the AI lifecycle, including managing third-party risks and updating privacy and security practices.

 

QUESTION 104
Which of the following is NOT required to be included in an AI impact assessment for a narrow AI use case?

 
 
 
 

QUESTION 105
Cloud-based deployment of AI often has which of the following advantages?

 
 
 
 

QUESTION 106
Which of the following AI uses is best described as human-centric?

 
 
 
 

QUESTION 107
A company initially intended to use a large data set containing personal information to train an AI model. After consideration, the company determined that it can derive enough value from the data set without any personal information and permanently obfuscated all personal data elements before training the model. This is an example of applying which privacy-enhancing technique (PET)?

 
 
 
 

QUESTION 108
An Al system that maintains its level of performance within defined acceptable limits despite real world or adversarial conditions would be described as?

 
 
 
 

QUESTION 109
A company has developed a proprietary AI model that analyzes consumer online behavior and predicts what prices consumers would be willing to pay for certain products, so that retailers may modify pricing accordingly. To test the model, the company has:
– Performed an impact assessment.
– Conducted repeatability tests.
– Exposed the model to edge cases and potential malicious input.
– Conducted adversarial testing to ID security threats.
– Assessed and mitigated discrimination risks.
Which additional responsible AI principle has the company failed to assess?

 
 
 
 

QUESTION 110
Which of the following is NOT a common type of machine learning?

 
 
 
 

QUESTION 111
A hospital implements an AI system to assist doctors in diagnosing diseases based on historical patient data. Which one of the following model types best describes this system?

 
 
 
 

QUESTION 112
Cloud-based deployment of AI often has which of the following advantages?

 
 
 
 

QUESTION 113
A company that deploys AI but is not currently a provider or developer intends to develop and market its own AI system.
Which obligation would then be likely to apply?

 
 
 
 

QUESTION 114
What is the technique to remove the effects of improperly used data from an ML system?

 
 
 
 

QUESTION 115
CASE STUDY
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.
All of the following are obligations of the company as a data controller when implementing its AI system EXCEPT?

 
 
 
 

QUESTION 116
When monitoring the functional performance of a model that has been deployed into production, all of the following are concerns EXCEPT:

 
 
 
 

QUESTION 117
What is the most significant risk of deploying an AI model that can create realistic images and videos?

 
 
 
 

QUESTION 118
What is the 1956 Dartmouth summer research project on Al best known as?

 
 
 
 

QUESTION 119
According to the GDPR, an individual has the right to have a human confirm or replace an automated decision unless that automated decision:

 
 
 
 

AIGP Questions Prepare with Learning Information: https://www.pdf4test.com/AIGP-dump-torrent.html

Related Links: www.slideshare.net scalar.usc.edu youemerge.com myportal.utt.edu.tt myportal.utt.edu.tt mentor.khai.edu

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