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IAPP AIGP Exam Objectives | New AIGP Exam Topics

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q39-Q44):

NEW QUESTION # 39
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. Single-lane.
B. Efficient.
C. Optimized.
D. Greedy.

Answer: D

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 # 40
Which risk management framework/guide/standard focuses on value-based engineering methodology?

A. ISO 31000 Guidelines (Risk Management).
B. Council of Europe Human Rights, Democracy, and the Rule of Law Assurance Framework (HUDERIA) for Al Systems.
C. IEEE 7000-2021 Standard Model Process for Addressing Ethical Concerns during System Design.
D. ISO/IEC Guide 51 (Safety).

Answer: C

Explanation:
The IEEE 7000-2021 Standard focuses on a value-based engineering methodology for addressing ethical concerns during system design. This standard guides engineers and organizations in integrating ethical considerations into the design and development processes of AI systems, ensuring that these technologies are developed responsibly and align with human values. Reference: AIGP Study Material, section on risk management frameworks and standards.

NEW QUESTION # 41
According to the Singapore Model Al Governance Framework, all of the following are recommended measures to promote the responsible use of Al EXCEPT?

A. Employing human-over-the-loop protocols for high-risk systems.
B. Establishing communications and collaboration among stakeholders.
C. Adapting the existing governance structure algorithmic decision-making.
D. Determining the level of human involvement in algorithmic decision-making.

Answer: A

Explanation:
The Singapore Model AI Governance Framework recommends several measures to promote the responsible use of AI, such as determining the level of human involvement in decision-making, adapting governance structures, and establishing communications and collaboration among stakeholders. However, employing human-over-the-loop protocols is not specifically mentioned in this framework. The focus is more on integrating human oversight appropriately within the decision-making process rather than exclusively employing such protocols. Reference: AIGP Body of Knowledge, section on AI governance frameworks.

NEW QUESTION # 42
An AI system's function, the industry and the location in which it operates are important factors in considering which of the following?

A. Internal governance needs.
B. Diversity of data sources.
C. Organizational accountability.
D. Explainability of results.

Answer: A

Explanation:
An AI system'sfunction,industry, anddeployment locationdefine itsrisk profile, which directly influences theinternal governance structuresan organization must put in place.
From theAI Governance in Practice Report 2024:
"There are many challenges and potential solutions for AI governance, each with unique proximityand significance based on an organization's role, footprint, broader risk-governance profile and maturity." (p. 4)
"AI governance starts with defining the corporate strategy for AI... and formulating policy standards and operational procedures to reflect industry, use case, and location." (p. 11)
* A- Organizational accountability is broader and not directly scoped by industry or function.
* C- Diversity of data sources is tied to data strategy.
* D- Explainability is more influenced by model type, not use context.

NEW QUESTION # 43
A company deploys an AI model for fraud detection in online transactions. During its operation, the model begins to exhibit high rates of false positives, flagging legitimate transactions as fraudulent.
Which is the best step the company should take to address this development?

A. Dedicate more resources to monitor the model.
B. Deactivate the model until an assessment is made.
C. Maintain records of all false positives.
D. Conduct training for customer service teams to handle flagged transactions.

Answer: B

Explanation:
When an AI system causessignificant false positives, especially in sensitive contexts likefraud detection, the priority is tohalt harmful activityand perform a full assessment. Continued use without understanding the fault may cause furthercustomer harmand legal exposure.
From theAI Governance in Practice Report 2024:
"Incident management plans should enable identification, escalation, and system rollback to prevent continued harm from malfunctioning AI systems." (p. 12, 35)

NEW QUESTION # 44
......

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