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AIGP Exam Simulations - AIGP Reliable Test Tips

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IAPP AIGP Exam Syllabus Topics:

Topic
Details

Topic 1

Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.

Topic 2

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 3

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.

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q102-Q107):

NEW QUESTION # 102
Which of the following disclosures is NOT required for an EU organization that developed and deployed a high-risk Al system?

A. The human oversight measures employed.
B. The fact that an Al system is being used.
C. The location(s) where data is stored.
D. How an individual may contest a decision.

Answer: C

Explanation:
Under the EU AI Act, organizations that develop and deploy high-risk AI systems are required to provide several key disclosures to ensure transparency and accountability. These include the human oversight measures employed, how individuals can contest decisions made by the AI system, and informing individuals that an AI system is being used. However, there is no specific requirement to disclose the exact locations where data is stored. The focus of the Act is on the transparency of the AI system's operation and its impact on individuals, rather than on the technical details of data storage locations.

NEW QUESTION # 103
Each of the following actors are typically engaged in the Al development life cycle EXCEPT?

A. Data architects.
B. Socio-cultural and technical experts.
C. Government regulators.
D. Legal and privacy governance experts.

Answer: C

Explanation:
Typically, actors involved in the AI development life cycle include data architects (who design the data frameworks), socio-cultural and technical experts (who ensure the AI system is socio-culturally aware and technically sound), and legal and privacy governance experts (who handle the legal and privacy aspects).
Government regulators, while important, are not directly engaged in the development process but rather oversee and regulate the industry. Reference: AIGP BODY OF KNOWLEDGE and AI development frameworks.

NEW QUESTION # 104
A company has trained an ML model primarily using synthetic data, and now intends to use live personal data to test the model.
Which of the following is NOT a best practice apply during the testing?

A. The test data should be anonymized to the extent practicable.
B. Testing should minimize human involvement to the extent practicable.
C. Testing should be performed specific to the intended uses.
D. The test data should be representative of the expected operationaldata.

Answer: B

Explanation:
Minimizing human involvement to the extent practicable is not a best practice during the testing of an ML model. Human oversight is crucial during testing to ensure that the model performs correctly and ethically, and to interpret any anomalies or issues that arise. Best practices include using representative test data, anonymizing data to the extent practicable, and performing testing specific to the intended uses of the model.
Reference: AIGP Body of Knowledge on AI Model Testing and Human Oversight.

NEW QUESTION # 105
CASE STUDY
Please use the following answer the next question:
A local police department in the United States procured an Al system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The Al system works by surveilling the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender.
The police department retained a third-party consultant assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system's accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor's system has a higher accuracy rate and based on this information, recommended this vendor to the police department.
The police department chose the first vendor and implemented its Al system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process.
The police department has now been using the Al system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the Al system gives a score of at least 90% and proceed directly with an arrest.
Which Al risk would NOT have been identified during the procurement process based on the categories of information requested by the third-party consultant?

A. Discrimination.
B. Accuracy.
C. Explainability.
D. Security.

Answer: D

Explanation:
The AI risk that would not have been identified during the procurement process based on the categories of information requested by the third-party consultant is security. The consultant focused on accuracy rates, diversity of training data, and system functionality, which pertain to performance and fairness but do not directly address the security aspects of the AI system. Security risks involve ensuring that the system is protected against unauthorized access, data breaches, and other vulnerabilities that could compromise its integrity. Reference: AIGP Body of Knowledge on AI Security and Risk Management.

NEW QUESTION # 106
What is the term for an algorithm that focuses on making the best choice achieve an immediate objective at a particular step or decision point, based on the available information and without regard for the longer-term best solutions?

A. Greedy.
B. Efficient.
C. Optimized.
D. Single-lane.

Answer: A

Explanation:
A greedy algorithm is one that makes the best choice at each step to achieve an immediate objective, without considering the longer-term consequences. It focuses on local optimization at each decision point with the hope that these local solutions will lead to an optimal global solution. However, greedy algorithms do not always produce the best overall solution for certain problems, but they are useful when an immediate, locally optimal solution is desired. Reference: AIGP Body of Knowledge, algorithm types section.

NEW QUESTION # 107
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