IAPP AIGP ALL-IN-ONE EXAM GUIDE PRACTICE FOR AIGP EXAM SUCCESS

IAPP AIGP All-in-One Exam Guide Practice for AIGP exam success

IAPP AIGP All-in-One Exam Guide Practice for AIGP exam success

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IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Understanding the Foundations of Artificial Intelligence: This topic defines AI and machine learning. It also provides an overview of the different types of AI systems and their use cases.
Topic 2
  • Understanding AI Impacts and Responsible AI Principles: This topic identifies different risks that that ungoverned AI systems. The topic also describes features and principles that are essential for trustworthy and ethical AI.
Topic 3
  • Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q162-Q167):

NEW QUESTION # 162
CASE STUDY
Please use the following answer the next question:
Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments.
In particular, GVC has learned that the teachers they employ used open source large language models ("LLM") to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art.
GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.
Which of the following risks should be of the highest concern to individual teachers using generative Al to ensure students learn the course material?

  • A. Model accuracy.
  • B. Technical complexity.
  • C. Financial cost.
  • D. Copyright infringement.

Answer: A

Explanation:
The highest concern for individual teachers using generative AI to ensure students learn the course material is model accuracy. Ensuring that the AI-generated content is accurate and relevant to the curriculum is crucial for effective learning. If the AI model produces inaccurate or irrelevant content, it can mislead students and hinder their understanding of the subject matter.
Reference: According to the AIGP Body of Knowledge, one of the core risks posed by AI systems is the accuracy of the data and models used. Ensuring the accuracy of AI-generated content is essential for maintaining the integrity of the educational material and achieving the desired learning outcomes.


NEW QUESTION # 163
Why is it important that conformity requirements are satisfied before an AI system is released into production?

  • A. To ensure the visual design is fit-for-purpose.
  • B. To guarantee interoperability of the AI system across multiple platforms and environments.
  • C. To comply with legal and regulatory standards, ensuring the AI system is safe and trustworthy.
  • D. To ensure the AI system is easy for end-users to operate.

Answer: C

Explanation:
Conformity assessmentsare a core requirement under theEU AI Actfor high-risk systems and serve to confirm that the AI meetsregulatory, safety, and ethical standardsbefore it is put into production.
From theAI Governance in Practice Report 2024:
"Conformity assessments... ensure that systems comply with legal requirements, safety criteria, and intended purpose before being placed on the market." (p. 34)
"They are a critical step to demonstrate safety and trustworthiness in AI deployment." (p. 35)


NEW QUESTION # 164
Scenario:
An organization is developing a powerful general-purpose AI (GPAI) model that has systemic impact. The compliance team is assessing what legal obligations apply under the EU AI Act.
Under the EU AI Act, which of the following compliance actions applies only to General Purpose AI models with systemic risk?

  • A. Making information available to downstream providers who integrate the model into their AI systems
  • B. Publishing a detailed summary of the data used to train the model
  • C. Implementing an intellectual property policy to comply with EU copyright laws
  • D. Maintaining up-to-date technical documentation, including testing details

Answer: B

Explanation:
The correct answer is A. Only GPAI models with systemic risk must publish a detailed summary of training data to meet transparency and accountability standards under the EU AI Act.
From the AI Governance in Practice Report 2024 (EU AI Act Section):
"For GPAI systems with systemic risk, providers must publish sufficiently detailed summaries of the content used to train the model." Also, the AIGP ILT Guide confirms:
"The obligation to disclose summaries of training data applies only to systemic-risk GPAI models, not all general-purpose models or high-risk systems." This unique requirement is part of the Act's effort to increase transparency and auditability for powerful foundational models.


NEW QUESTION # 165
A Canadian company is developing an Al solution to evaluate candidates in the course of job interviews.
Before offering the Al solution in the EU market, the company must take all of the following steps EXCEPT?

  • A. Engage a third-party auditor to perform a bias audit.
  • B. Register the Al solution in a public EU database.
  • C. Draw up technical documentation and instructions for use.
  • D. Establish a risk and quality management system.

Answer: B

Explanation:
Before offering an AI solution in the EU market, a Canadian company must take several steps to comply with the EU AI Act. These steps include establishing a risk and quality management system (B), engaging a third-party auditor to perform a bias audit (C), and drawing up technical documentation and instructions for use (D). However, there is no requirement to register the AI solution in a public EU database (A). This registration step is not specified as part of the compliance requirements under the EU AI Act for such solutions.


NEW QUESTION # 166
Which of the following may be permissible uses of an AI system under the EU AI Act EXCEPT?

  • A. Using biometrics in abduction cases
  • B. Improving the response time for emergency services
  • C. Detecting emotions in a telemedicine session
  • D. Detecting emotions in a workplace for employee morale

Answer: D

Explanation:
The correct answer is D. Emotion recognition in the workplace is flagged as unacceptable or highly restricted under the EU AI Act due to its intrusive nature and potential for misuse.
From the AIGP ILT Guide - EU AI Act Training Module:
"AI systems that monitor individuals' emotions in the workplace or educational settings are listed among prohibited or strictly limited practices under Article 5." AI Governance in Practice Report 2024 supports this interpretation:
"Emotion recognition systems, especially in sensitive contexts such as employment or education, raise significant concerns under EU fundamental rights law and are likely to be restricted." Other uses listed-such as emergency response or emotion detection in healthcare-may fall under lawful and beneficial uses, especially when justified by public interest.


NEW QUESTION # 167
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