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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q136-Q141):

NEW QUESTION # 136
Machine learning is best described as a type of algorithm by which?

A. Statistical inferences are drawn from a sample with the goal of predicting human intelligence.
B. Systems can automatically improve from experience through predictive patterns.
C. Systems can mimic human intelligence with the goal of replacing humans.
D. Previously unknown properties are discovered in data and used to predict and make improvements in the data.

Answer: B

Explanation:
Machine learning (ML) is a subset of artificial intelligence (AI) where systems use data to learn and improve over time without being explicitly programmed. Option B accurately describes machine learning by stating that systems can automatically improve from experience through predictive patterns. This aligns with the fundamental concept of ML where algorithms analyze data, recognize patterns, and make decisions with minimal human intervention. Reference: AIGP BODY OF KNOWLEDGE, which covers the basics of AI and machine learning concepts.

NEW QUESTION # 137
According to the Singapore Model Al Governance Framework, all of the following are recommended measures to promote the responsible use of Al EXCEPT?

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

Answer: C

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 # 138
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.
All of the following are potential negative consequences created by using the Al tool when making hiring decisions EXCEPT?

A. Intellectual property infringement.
B. Civil rights violations.
C. Reputational harm.
D. Discriminatory treatment.

Answer: A

Explanation:
The potential negative consequences of using an AI tool in hiring include reputational harm (A), civil rights violations (B), and discriminatory treatment (C). These issues stem from biases in the AI system or its misuse, which can lead to unfair hiring practices and legal liabilities. Intellectual property infringement (D) is not a typical consequence of using AI in hiring, as it relates to the unauthorized use of protected intellectual property, which is not directly relevant to the hiring process or the potential biases within AI tools.

NEW QUESTION # 139
Scenario:
A mid-sized tech firm is building its AI governance program and is exploring ISO/IEC standards that could support consistency in terminology and risk assessment processes across teams.
ISO/IEC 22989 and ISO/IEC 42001 can be valuable resources for AI Governance professionals in all of the following ways EXCEPT:

A. Being applicable to organizations of any size and industry seeking to use AI responsibly and effectively in their design processes, information systems and controls
B. Addressing specific issues related to managing procurement processes with third parties that provide or develop AI systems for their organization
C. Recommending key activities to assess and manage risk: test, evaluate, verify and validate (TEVV)
D. Establishing terminology and describing concepts so that governance team members can communicate with diverse parties and stakeholders from around the world

Answer: B

Explanation:
The correct answer is C. ISO/IEC 22989 and 42001 focus on terminology, risk, and management systems, but do not specifically address procurement-related concerns with third-party vendors.
From the AIGP Body of Knowledge - Standards Section:
"ISO/IEC 22989 defines terminology and foundational concepts. ISO/IEC 42001 provides a management system standard for AI. They are not procurement-focused documents." Also confirmed in the AI Governance in Practice Report 2024:
"These standards help establish common language and risk governance procedures. Procurement governance typically falls under separate frameworks or sector-specific guidance." Thus, procurement governance (Option C) is not a central use case for these standards.

NEW QUESTION # 140
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 comply with legal and regulatory standards, ensuring the AI system is safe and trustworthy.
C. To ensure the AI system is easy for end-users to operate.
D. To guarantee interoperability of the AI system across multiple platforms and environments.

Answer: B

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 # 141
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VALID AIGP TRAINING MATERIALS | AIGP EXAM PREP: IAPP CERTIFIED ARTIFICIAL INTELLIGENCE GOVERNANCE PROFESSIONAL - DUMPTORRENT

Valid AIGP training materials | AIGP exam prep: IAPP Certified Artificial Intelligence Governance Professional - DumpTorrent