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NEW QUESTION # 24
Pursuant to the White House Executive Order of November 2023, who is responsible for creating guidelines to conduct red-teaming tests of AI systems?
- A. Department of Homeland Security (DHS).
- B. Office of Science and Technology Policy (OSTP).
- C. National Institute of Standards and Technology (NIST).
- D. National Science and Technology Council (NSTC).
Answer: C
Explanation:
According to the White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (Executive Order 14110), the responsibility for creating guidelines to conduct red-teaming tests of AI systems falls to the National Institute of Standards and Technology (NIST). Specifically, the Executive Order directs NIST to establish guidelines and best practices for developing and deploying safe, secure, and trustworthy AI systems, including the creation of standards and procedures for developers to conduct AI red- teaming tests.
NEW QUESTION # 25
The main purpose of NIST's Assessing Risks and Impacts of AI (ARIA) program is to:
- A. Offer a regulatory sandbox for risk reporting.
- B. Provide a suite of resources to manage risks.
- C. Pilot new standards for AI red-teaming.
- D. Promote interoperability across AI systems.
Answer: B
Explanation:
NIST's ARIA program is designed to provide organizations with practical resources, guidance, and methodologies to assess and manage the risks and impacts of AI systems.
NEW QUESTION # 26
When should an ethical impact assessment for AI be performed?
- A. When the system is ready for production and deployment.
- B. Then the number of AI system users has reached a predefined threshold.
- C. After the AI system has encountered ethical issues in real-world applications.
- D. At the initial stages of AI system development and continually throughout its lifecycle.
Answer: D
Explanation:
Ethical impact assessments should begin at the initial development stages and continue throughout the AI system's lifecycle to proactively identify and address ethical risks.
NEW QUESTION # 27
CASE STUDY
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.
To 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 deploy 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 AI tool to help make hiring decisions EXCEPT?
- A. Disparate impacts
- B. Candidate quality
- C. Privacy violations
- D. Automation bias
Answer: B
Explanation:
The correct answer isB. "Candidate quality" isnota negative consequence of using AI-rather, it is the intendedbenefitof using such tools (e.g., more efficient filtering of strong candidates).
From the AIGP ILT Guide:
"Automation bias, disparate impact, and privacy risks are well-documented concerns in AI-assisted hiring.
These risks may arise when AI models replicate biases present in training data or obscure the decision logic." AI Governance in Practice Report2025(Bias and Fairness Section) also warns:
"Improper AI use in hiring can lead to disparate impact, where neutral criteria disproportionately disadvantage protected groups." Candidate quality is agoal, not a risk, makingB the correct answerfor what isnota negative outcome.
NEW QUESTION # 28
Scenario:
A European AI technology company was found to be non-compliant with certain provisions of the EU AI Act.
The regulator is considering penalties under the enforcement provisions of the regulation.
According to the EU AI Act, which of the following non-compliance examples could lead to fines of up to €
15 million or 3% of annual worldwide turnover(whichever is higher)?
- A. In case of AI Act prohibitions
- B. In case of a breach of AI Act prohibition by the Union institutions, bodies, offices and agencies
- C. In case of breach of a provider's obligations for high-risk AI systems
- D. In case of the supply of misleading information to notified bodies in reply to a request
Answer: C
Explanation:
The correct answer isB. The EU AI Act assigns atiered penalty systembased on the severity of the violation.
A breach ofobligations related to high-risk AI systemsfalls into the mid-tier category, triggering fines of €
15 million or 3% of annual global turnover.
From the AIGP ILT Guide - EU AI Act Module:
"Providers of high-risk AI systems must comply with strict documentation, testing, monitoring, and registration obligations. Breaches of these result in significant fines of up to €15 million or 3% of turnover." AI Governance in Practice Report 2024 supports this:
"Non-compliance with obligations under Title III (high-risk systems) leads to financial penalties under Article
71(3) of the EU AI Act."
Note: Thehighest penalty (€35 million or 7%)applies toprohibited AI uses, not to obligations for high-risk systems.
NEW QUESTION # 29
According to November 2023 White House Executive Order, which of the following best describes the guidance given to governmental agencies on the use of generative Al as a workplace tool?
- A. Limit access to specific uses of generative Al.
- B. Limit access of generative Al to engineers and developers.
- C. Impose a ban on the use of generative Al in agencies that protect national security.
- D. Impose a general ban on the use of generative Al.
Answer: A
Explanation:
The November 2023 White House Executive Order provides guidance that governmental agencies should limit access to specific uses of generative AI. This means that generative AI tools should be used in a controlled manner, where their applications are restricted to well-defined, approved use cases that ensure the security, privacy, and ethical considerations are adequately addressed. This approach allows for the benefits of generative AI to be harnessed while mitigating potential risks and abuses.
Reference: AIGP BODY OF KNOWLEDGE, sections on AI governance and risk management, and the White House Executive Order of November 2023.
NEW QUESTION # 30
All of the following may be permissible uses of an AI system under the EU AI Act EXCEPT:
- A. Improving the response time for emergency services.
- B. Detecting emotions in a telemedicine session.
- C. Detecting emotions in a workplace for employee morale.
- D. Using biometrics in abduction cases.
Answer: C
Explanation:
The EU AI Act prohibits the use of emotion recognition systems in workplaces because of the high risk to employees' rights and freedoms, making workplace emotion detection an impermissible use.
NEW QUESTION # 31
CASE STUDY
Please use the following to answer the next question:
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.
To address these concerns, the company is considering using a third-party AI tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party AI-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 deploy technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by AI hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the AI hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
Which other stakeholder groups should be involved in the selection and implementation of the AI hiring tool?
- A. Finance and Legal.
- B. Supply Chain and Marketing.
- C. Litigation and Product Development.
- D. Marketing and Compliance.
Answer: A
Explanation:
Finance and Legal teams are critical stakeholders in selecting and implementing AI hiring tools to ensure budget compliance and adherence to legal and regulatory requirements.
NEW QUESTION # 32
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.
Which stakeholder group is most important in selecting the specific type of algorithm?
- A. The cloud provider.
- B. The consulting firm.
- C. The healthcare network's data science team.
- D. The healthcare network's risk committee.
Answer: C
Explanation:
The healthcare network's data science team is most important in selecting the specific algorithm type, as they possess the technical expertise and understanding of the data and clinical context required for this decision.
NEW QUESTION # 33
Under the NIST AI Risk Management Framework, all of the following are defined as characteristics of trustworthy AI EXCEPT:
- A. Tested and Effective.
- B. Explainable and Interpretable.
- C. Accountable and Transparent.
- D. Secure and Resilient.
Answer: A
NEW QUESTION # 34
A company developing and deploying its own AI model would perform all of the following steps to monitor and evaluate the model's performance EXCEPT?
- A. Implementing a formal incident response plan to address incidents that may occur during system operation.
- B. Establishing a regular schedule for human evaluation of the model's performance, including qualitative assessments.
- C. Publicly disclosing data with forecasts of secondary and downstream harms to stakeholders.
- D. Setting up automated tools to regularly track the model's accuracy, precision and recall rates in real- time.
Answer: C
Explanation:
While transparency is encouraged,publicly disclosing forecasts of secondary harmsisnot a required or standard practicefor internal performance evaluation. Risk assessments and reporting typically remain internal or shared with regulators.
From theAI Governance in Practice Report 2024:
"Organizations must assess secondary risks... but disclosure is subject to context, regulatory requirements, and risk management discretion." (p. 30)
NEW QUESTION # 35
Which of the following most encourages accountability over AI systems?
- A. Defining the roles and responsibilities of AI stakeholders.
- B. Determining the business objective and success criteria for the AI project.
- C. Understanding AI legal and regulatory requirements.
- D. Performing due diligence on third-party AI training and testing data.
Answer: A
Explanation:
Defining clear roles and responsibilities for AI stakeholders is essential to establish accountability throughout the AI system's lifecycle.
NEW QUESTION # 36
What is the primary purpose of an Al impact assessment?
- A. To identify and measure the benefits of an Al system.
- B. To define and document the roles and responsibilities of Al stakeholders.
- C. Anticipate and manage the potential risks and harms of an Al system.
- D. To define and evaluate the legal risks associated with developing an Al system.
Answer: C
Explanation:
The primary purpose of an AI impact assessment is to anticipate and manage the potential risks and harms of an AI system. This includes identifying the possible negative outcomes and implementing measures to mitigate these risks. This process helps ensure that AI systems are developed and deployed in a manner that is ethically and socially responsible, addressing concerns such as bias, fairness, transparency, and accountability. The assessment often involves a thorough evaluation of the AI system's design, data inputs, outputs, and the potential impact on various stakeholders. This approach is crucial for maintaining public trust and adherence to regulatory requirements.
NEW QUESTION # 37
CASE STUDY
Please use the following to answer the next question:
A global marketing agency is adapting a large language model ("LLM") to generate content for an upcoming marketing campaign for a client's new product: a hard hat designed for construction workers of any gender to better protect them from head injuries.
The marketing agency is accessing the LLM through an application programming interface ("API") developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address AI governance.
The marketing company has:
- Entered into a contract with the technology company with suitable
representations and warranties.
- Completed an impact assessment on the LLM for this intended use.
- Built technical guidance on how to measure and mitigate bias in the
LLM.
- Enabled technical aspects of transparency, explainability, robustness and privacy.
- Followed applicable regulatory requirements.
- Created specific legal statements and disclosures regarding the use
of the AI on its client's advertising.
The technology company has:
- Provided guidance and resources to developers to address
environmental concerns.
- Build technical guidance on how to measure and mitigate bias in the
LLM.
- Provided tools and resources to measure bias specific to the LLM.
- Enabled technical aspects of transparency, explainability, robustness and privacy.
- Mapped and mitigated potential societal harms and large-scale
impacts.
- Followed applicable regulatory requirements and industry standards.
- Created specific legal statements and disclosures regarding the LLM,
including with respect to IP and rights to data.
While the marketing agency took steps to mitigate its risks, the best additional step would be to:
- A. Establish a governance committee to oversee the project.
- B. Engage a third party to lead the procurement selection process.
- C. Negotiate an intellectual property indemnity from the technology company.
- D. Evaluate the use of AI in the marketing industry to identify best practices.
Answer: A
Explanation:
Establishing a governance committee provides ongoing oversight and accountability, which is crucial for managing risks effectively throughout the AI project lifecycle.
NEW QUESTION # 38
Scenario:
A public sector agency is reviewing proposed AI use cases for improving services. It wants to prioritize implementations that deliver value butminimize unintended negative consequences.
When evaluating which AI use cases to implement, an organization should consider all of the following EXCEPT:
- A. Equitable access to the AI tool
- B. The users and their expectations
- C. Related TEVV (test, evaluate, verify, validate) and system metrics
- D. Potential positive and negative impacts of the system
Answer: A
Explanation:
The correct answer isA. While TEVV is important inlater lifecycle phases, it isnot the primary considerationwhen evaluating and prioritizinguse cases.
From the AIGP Body of Knowledge - Use Case Assessment Module:
"Use case evaluation focuses on value, impact, fairness, and accessibility-technical testing considerations come later." ILT Guide confirms:
"Organizations should first assess whether the AI system provides equitable outcomes and aligns with stakeholder expectations. TEVV is part of implementation, not initial prioritization." Thus,Ais not a top-level consideration during use caseselection.
NEW QUESTION # 39
Scenario:
A global organization wants to align with international frameworks on AI governance. They are reviewing guidance from the OECD on how to incorporate broader governance tools into their AI program.
Codes of conduct and collective agreements are what type of assessment tools as defined by the Organization for Economic Cooperation and Development (OECD)?
- A. Analytic
- B. Educational
- C. Procedural
- D. Technical
Answer: C
Explanation:
The correct answer is B - Procedural. The OECD Framework for Classifying AI Systems categorizes codes of conduct and collective agreements as procedural tools because they guide internal governance and decision-making processes.
From the AIGP ILT Participant Guide - Global Governance Models:
"Procedural tools include internal codes of conduct, collective agreements, and procedural audits that guide governance without necessarily involving technical measurement." AI Governance in Practice Report 2024 elaborates:
"These procedural tools support internal accountability mechanisms and ethics compliance frameworks...
they are part of soft governance."
These tools do not measure or analyze technical performance, hence they are not technical or analytic.
NEW QUESTION # 40
What is the primary objective of continuous monitoring in the lifecycle of an AI tool?
- A. To periodically upgrade the AI tool ' s computational resources to maintain processing efficiency.
- B. To ensure that the AI tool ' s algorithm evolves independently to adapt to new data without human intervention.
- C. To restrict the AI tool from accessing external data sources to maintain data privacy.
- D. To track and adjust the tool ' s performance in order to ensure that it meets its goals.
Answer: D
Explanation:
The correct answer is B because continuous monitoring is a core component of AI governance that ensures systems remain effective, reliable, and aligned with their intended objectives over time. AI systems can degrade due to data drift, model drift, or changing real-world conditions, making ongoing performance tracking essential. Monitoring allows organizations to detect anomalies, biases, or performance issues and take corrective actions such as retraining or recalibration. Governance frameworks emphasize post- deployment oversight to ensure systems continue to operate safely and within acceptable risk thresholds.
Option A incorrectly suggests fully autonomous evolution without oversight, which contradicts governance principles. Options C and D address specific operational concerns but do not capture the primary purpose of continuous monitoring, which is maintaining performance, accountability, and alignment with defined goals.
NEW QUESTION # 41
Scenario:
An enterprise is evaluating multiple third-party generative AI tools to integrate into its platform. As part of its AI governance policy, it is assessing themost effective methodsto reduce risks related to bias, data misuse, and liability when using third-party solutions.
All of the following are commonly adopted processes and policies in reducing potential risks introduced by third-party AI tools or applications EXCEPT:
- A. Including clauses in the procurement agreement for buyers of generative AI tools to put certain liabilities on the tool supplier
- B. Requiring new use cases of the generative AI tools or applications to be reviewed and approved by the generative AI governance body
- C. Allowing publicly available information and personally identifiable information (PII) to be incorporated into the prompt
- D. Requiring an independent third-party bias audit for third-party generative AI tools
Answer: C
Explanation:
The correct answer isB. AllowingPIIto be freely entered into prompts without safeguards is considered amajor privacy and security riskand is not a responsible governance practice.
From the AIGP ILT Guide - Generative AI & Third-Party Risk Management:
"Use of personal or sensitive information in AI prompts can result in unintended exposure, regulatory breaches, and downstream liability." The AI Governance in Practice Report2025highlights:
"PII should be minimized or protected by design. Prompt engineering should prevent entry of personally identifiable data unless legally and technically safeguarded." A, C, and D are established best practices under responsible AI procurement and use.
NEW QUESTION # 42
A US company has developed an AI system, CrimeBuster 7909, that collects information about incarcerated individuals that predicts whether someone is likely to commit another crime if released from prison. When considering expanding to the EU market, this type of technology would:
- A. Be banned under the EU AI Act.
- B. Be subject to approval by the relevant EU authority.
- C. Require the application of privacy enhancing technologies.
- D. Require the company to register the tool with the EU database.
Answer: A
NEW QUESTION # 43
All of the following are required for high-risk AI systems under the EU AI Act EXCEPT:
- A. Publishing a detailed report on the training data used.
- B. Conducting post-market monitoring.
- C. Conducting a conformity assessment.
- D. Retaining system-generated logs for at least six months.
Answer: A
NEW QUESTION # 44
All of the following may be permissible uses of an Al system under the EU Al Act EXCEPT?
- A. To implement social scoring.
- B. To manage border control.
- C. To promote equitable distribution of welfare benefits.
- D. To detect an individual's intent for law enforcement purposes.
Answer: A
Explanation:
The EU AI Act explicitly prohibits the use of AI systems for social scoring by public authorities, as it can lead to discrimination and unfair treatment of individuals based on their social behavior or perceived trustworthiness. While AI can be used to promote equitable distribution of welfare benefits, manage border control, and even detect an individual's intent for law enforcement purposes (within strict regulatory and ethical boundaries), implementing social scoring systems is not permissible under the Act due to the significant risks to fundamental rights and freedoms.
NEW QUESTION # 45
A shipping service based in the US is looking to expand its operations into the EU. It utilizes an in-house developed multimodal AI model that analyzes all personal data collected from shipping senders and recipients, and optimizes shipping routes and schedules based on this data.
As they expand into the EU, all of the following descriptions should be included in the technical documentation for their AI model EXCEPT?
- A. A detailed description of the elements of the AI system and of the process for its development.
- B. A general description of the AI system.
- C. A description of the appropriateness of the performance metrics for the specific AI system.
- D. A description of the prioritization of the risks of deployment of the AI system.
Answer: D
Explanation:
The EU AI Act outlines what must be included intechnical documentationfor high-risk systems. These requirements are designed to supportconformity assessment, transparency, and traceability.
From theAI Governance in Practice Report 2024:
"It mandates drawing up technical documentation... must include a general description of the AI system, the intended purpose, and a detailed description of the elements and development process." (p. 34)
"Documentation... includes training, testing, evaluation procedures, andappropriateness of performance metrics." (p. 34-35) Therisk management systemis addressed separately through arisk management plan, not within the technical documentation itself.
Thus:
* A, C, and Dare explicitly required in thetechnical documentation.
* B, while important, is part of therisk management process, not a required section oftechnical documentation.
NEW QUESTION # 46
According to the GDPR, an individual has the right to have a human confirm or replace an automated decision unless that automated decision?
- A. Is deemed to solely benefit the individual and includes documented legitimate interests.
- B. Is authorized with the data subject s explicit consent.
- C. Is necessary for entering into or performing under a contract between the data subject and data controller.
- D. Is authorized by applicable Ell law and includes suitable safeguards.
Answer: B
Explanation:
According to the GDPR, individuals have the right to not be subject to a decision based solely on automated processing, including profiling, which produces legal effects or similarly significantly affects them. However, there are exceptions to this right, one of which is when the decision is based on the data subject's explicit consent. This means that if an individual explicitly consents to the automated decision-making process, there is no requirement for human intervention to confirm or replace the decision. This exception ensures that individuals can have control over automated decisions that affect them, provided they have given clear and informed consent.
NEW QUESTION # 47
In procuring an AI system from a vendor, which of the following would be important to include in a contract to enable proper oversight and auditing of the system?
- A. Responsibility for improvements.
- B. Liability for mistakes.
- C. Appropriate access to data and models.
- D. Ownership of data and outputs.
Answer: C
Explanation:
Ensuringoversight and auditabilityrequires that the organization hassufficient access to data, documentation, and model internalsor outputs necessary for evaluation.
From theAI Governance in Practice Report2025:
"Access to technical documentation and system internals is essential to enable effective auditing, conformity checks, and accountability mechanisms." (p. 11, 34)
* Ais about liability, not auditability.
* Bmatters for IP rights, not oversight.
* Crelates to lifecycle responsibility but doesn't guarantee audit access.
NEW QUESTION # 48
CASE STUDY
A global marketing agency is adapting a large language model ("LLM") to generate content for an upcoming marketing campaign for a client's new product: a hard hat designed for construction workers of any gender to better protect them from head injuries.
The marketing agency is accessing the LLM through an application programming interface ("API") developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address Al governance.
The marketing company has:
* Entered into a contract with the technology company with suitable representations and warranties.
* Completed an impact assessment on the LLM for this intended use.
* Built technical guidance on how to measure and mitigate bias in the LLM.
* Enabled technical aspects of transparency, explainability, robustness and privacy.
* Followed applicable regulatory requirements.
* Created specific legal statements and disclosures regarding the use of the Al on its client's advertising.
The technology company has:
* Provided guidance and resources to developers to address environmental concerns.
* Build technical guidance on how to measure and mitigate bias in the LLM.
* Provided tools and resources to measure bias specific to the LLM.
* Enabled technical aspects of transparency, explainability, robustness and privacy.
* Mapped and mitigated potential societal harms and large-scale impacts.
* Followed applicable regulatory requirements and industry standards.
* Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.
The technology company has also addressed environmental concerns and societal harms.
Which of the following results would be considered biased outputs from this AI system EXCEPT?
- A. The content generated for minority construction workers is insufficient
- B. The generated ads are sent to construction companies, not individual workers
- C. The images of female workers are hyper-sexualized
- D. The advertising text generated for female audiences focuses on color and style
Answer: B
Explanation:
The correct answer isA. Sending ads to construction companies (business entities) rather than individual workers isa business targeting decision, not inherently a biased AI output.
From the AIGP ILT Participant Guide - Bias & Fairness Module:
"Biased outputs often include stereotyping, exclusion of underrepresented groups, or reinforcing harmful societal assumptions." Examples likeinsufficient representation of minority groupsorgender-stereotyping in visuals or languageare typical manifestations of bias.
AI Governance in Practice Report2025also notes:
"Bias in generative models may manifest in representation gaps, stereotyping, or unequal performance across demographic groups." Option A, by contrast, describes adistribution strategy, not a bias generated by the AI model.
NEW QUESTION # 49
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