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IAPP AIGP Exam Dumps – PDF Questions and Testing Engine

Latest AIGP Exam Dumps for Pass Guaranteed

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 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 3
  • 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 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 113
Scenario:
A U.S.-based AI governance professional is evaluating resources from the National Institute of Standards and Technology (NIST) to guide the organization’s AI risk assessment strategy. They are particularly interested in programs focused on assessing AI-specific impacts.
The main purpose of NIST’s Assessing Risks and Impacts of AI (ARIA) program is to:

 
 
 
 

QUESTION 114
You are a privacy program manager at a large e-commerce company that uses an AI tool to deliver personalized product recommendations based on visitors’ personal information that has been collected from the company website, the chatbot and public data the company has scraped from social media.
A user submits a data access request under an applicable US state privacy law, specifically seeking a copy of their personal data, including information used to create their profile for product recommendations.
What is the most challenging aspect of managing this request?

 
 
 
 

QUESTION 115
Decreasing the complexity of a machine learning model reduces variance and?

 
 
 
 

QUESTION 116
All of the following are obligations of providers under the EU AI Act EXCEPT?

 
 
 
 

QUESTION 117
All of the following may be permissible uses of an AI system under the EU AI Act EXCEPT:

 
 
 
 

QUESTION 118
All of the following are common optimization techniques in deep learning to determine weights that represent the strength of the connection between artificial neurons EXCEPT:

 
 
 
 

QUESTION 119
A company is creating a mobile app to enable individuals to upload images and videos, and analyze this data using ML to provide lifestyle improvement recommendations. The sign-up form has the following data fields:
1. First name
2. Last name
3. Mobile number
4. Email ID
5. New password
6. Date of birth
7. Gender
In addition, the app obtains a device’s IP address and location information while in use.
What GDPR privacy principles does this violate?

 
 
 
 

QUESTION 120
What is the 1956 Dartmouth summer research project on Al best known as?

 
 
 
 

QUESTION 121
Which of the following best describes the data minimization principle as it relates to an AI model?

 
 
 
 

QUESTION 122
CASE STUDY
Please use the following to answer the next question:
A leading insurance provider that offers a range of coverage options to individuals has decided to utilize AI to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies. The company has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”).
The company 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 to a human underwriter for final review.
The company 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. They have 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, the company realizes that the LLM declines a higher percentage of women’s applications.
The best approach to enable a customer who wants information on the AI model’s parameters for underwriting purposes is to provide:

 
 
 
 

QUESTION 123
All of the following apply to enforcement of the EU AI Act EXCEPT:

 
 
 
 

QUESTION 124
Which type of existing assessment could best be leveraged to create an AI impact assessment?

 
 
 
 

QUESTION 125
Business A sells software that provides users with writing and grammar assistance. Business B is a cloud services provider that trains its own AI models.
* Business A has decided to add generative AI features to their software.
* Rather than create their own generative AI model, Business A has chosen to license a model from Business B.
* Business A will then integrate the model into their writing assistance software to provide generative AI capabilities.
* Business A is most concerned that its writing assistance software could recommend toxic or obscene text to its users.
Which of the following governance processes should Business A take to best protect its users against potentially inappropriate text?

 
 
 
 

QUESTION 126
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.
The data processed by the AI system would be classified as:

 
 
 
 

QUESTION 127
CASE STUDY
Please use the following to answer the next question:
A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most likely to 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 to a radiologist for secondary review pursuant to agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has:
– Defined its AI ethical principles.
– Conducted discovery to identify the intended uses and success
criteria for the system.
– Established an AI risk committee.
– Assembled a cross-functional team with clear roles and
responsibilities.
– 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. It also intends to retain a large consulting firm to supplement its small data science team and 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.
What is the most important step for the healthcare network to take when mapping its existing data to the clinical research partner data?

 
 
 
 

QUESTION 128
All of the following are compliance considerations specific to third-party governance when using GenAI models EXCEPT?

 
 
 
 

QUESTION 129
Which of the following statements is correct regarding South Korea ‘ s Basic Act on the Development of Artificial Intelligence and the Establishment of Trust (the ” AI Basic Act ” )?

 
 
 
 

QUESTION 130
Who is responsible for ongoing maintenance and monitoring of an AI system after it has been put into production?

 
 
 
 

QUESTION 131
All of the following are included within the scope of post-deployment Al maintenance EXCEPT?

 
 
 
 

QUESTION 132
An AI start-up is developing a system for automated loan approvals. The team wants to minimize risks of bias and regulatory non-compliance. They have already identified potential stakeholders, including regulators and consumer groups.
What is the most appropriate sequence of next steps?

 
 
 
 

QUESTION 133
CASE STUDY
Please use the following answer the next question:
XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company’s product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions.
One of the procurement team’s goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization’s operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
The frameworks that would be most appropriate for XYZ’s governance needs would be the NIST Al Risk Management Framework and?

 
 
 
 

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