AIGP Exam Questions
202 real AIGP exam questions with expert-verified answers and explanations. Page 4 of 5.
- Question #151AI Governance Program
When evaluating which AI use cases to implement, an organization should consider all of the following EXCEPT:
use case evaluationTEVVstakeholder impactAI governance - Question #152AI System Risks
The best method to ensure a comprehensive identification of risks for a new AI model is:
impact assessmentrisk identificationrisk managementAI governance - Question #153AI Governance Program
After initially deploying a third-party AI model, you learn the developer has released a new version. As deployer of this third-party model, what should you do?
third-party AImodel updatesauditdeployer responsibilities - Question #154AI Governance Program
Which of the following would be the least likely step for an organization to take when designing an integrated compliance strategy for responsible AI?
compliance strategyresponsible AIgovernance designstakeholder engagement - Question #155AI Governance Program
All of the following are commonly adopted processes and policies in reducing potential risks introduced by third-party AI tools or applications EXCEPT:
third-party AIprocurement riskPIIvendor controls - Question #156AI Models and Data
Your organization is searching for a new way to help accurately forecast sales predictions by various types of customers. Which of the following is the best type of model to choose...
model selectionvendor lock-inclassic MLsales forecasting - Question #157AI Models and Data
All of the following issues are unique for proprietary AI model deployments EXCEPT:
proprietary AIbiasconformity assessmentmodel deployment - Question #158AI Governance Program
Business A sells software that provides users with writing and grammar assistance. Business B is a cloud services provider that trains its own AI models. - Business A has decided t...
third-party modelcontent safetydeployer obligationsmodel testing - Question #159AI Governance Program
The main purpose of NIST's Assessing Risks and Impacts of AI (ARIA) program is to:
NIST ARIArisk managementAI frameworksregulatory guidance - Question #160AI Models and Data
Retrieval-Augmented Generation (RAG) is defined as:
RAGLLMknowledge retrievalgenerative AI - Question #161Legal and Regulatory Landscape
A deployer discovers that a high-risk AI recruiting system has been making widespread errors, resulting in harms to the rights of a considerable number of EU residents who are deni...
EU AI Actserious incident reportinghigh-risk AIdeployer obligations - Question #162Introduction to AI and AI Governance
All of the following are unique characteristics of AI that require a comprehensive approach to governance EXCEPT: (Choose three.)
AI characteristicsAI governanceautonomyadaptability - Question #163Introduction to AI and AI Governance
The processes and methods that allow human users to understand and trust the outputs produced by AI are important in addressing which key regulatory concern?
explainable AIAI transparencyregulatory concernstrustworthy AI - Question #164AI Governance Program
Which of the following compliance related controls within an organization is most easily adapted to identify AI risks?
privacy impact assessmentrisk identificationcompliance controlsAI risk management - Question #165Legal and Regulatory Landscape
A company that deploys AI but is not currently a provider or developer intends to develop and market its own AI system. Which obligation would then be likely to apply?
provider obligationsrisk management frameworkEU AI Actdeployer transition - Question #166AI Governance Program
What is the most important reason for documenting risks when developing an AI system?
risk documentationliability mitigationAI transparencystakeholder communication - Question #167AI Governance Program
The most important policy to assess the operations of an AI model is to follow the:
acceptable use policymodel governanceAI operationsprovider policies - Question #168AI Governance Program
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:
model monitoringperformance evaluationincident responsepost-deployment - Question #169AI System Risks
Which risk category addresses situations where AI systems behave in ways inconsistent with their intended objectives?
misalignment riskAI objectivesrisk categoriesunintended behavior - Question #170Legal and Regulatory Landscape
A regulator has ruled that the AI model used by some features of your product should not be used in their jurisdiction. What is the most robust way of reacting to this situation?
regulatory compliancejurisdictional restrictionsfeature flagsAI deployment strategy - Question #171AI System Risks
During the development of semi-autonomous vehicles, various failures occurred as a result of the sensors misinterpreting environmental surroundings, such as sunlight. These failure...
brittlenessmodel robustnesssensor errorsAI failure modes - Question #172AI Models and Data
Decreasing the complexity of a machine learning model reduces variance and:
bias-variance tradeoffmodel complexitymachine learning fundamentalsoverfitting - Question #173AI System Risks
CASE STUDY Please use the following to answer the next question: A local police department in the United States procured an AI system to monitor and analyze social media feeds, onl...
AI securitylaw enforcement AIsurveillance systemsrisk assessment - Question #174AI Ethics and Best Practices
CASE STUDY Please use the following to answer the next question: A local police department in the United States procured an AI system to monitor and analyze social media feeds, onl...
human oversightAI in law enforcementdue processAI recommendations - Question #175AI Ethics and Best Practices
CASE STUDY Please use the following to answer the next question: A local police department in the United States procured an AI system to monitor and analyze social media feeds, onl...
algorithmic fairnessbias testinglaw enforcement AIdisparate impact - Question #176AI Ethics and Best Practices
CASE STUDY Please use the following to answer the next question: A local police department in the United States procured an AI system to monitor and analyze social media feeds, onl...
explainabilityindividual rightsdue processAI transparency - Question #177AI Models and Data
You are an engineer that developed an AI-based ad recommendation tool. Which of the following should be monitored to evaluate the tool's effectiveness?
model monitoringperformance metricsrecommendation systemsoutput evaluation - Question #178AI Governance Program
An organization establishes a cross-functional AI governance committee including legal, engineering, compliance, and HR teams. What is the primary purpose of this approach?
governance committeecross-functional teamsrisk oversightorganizational governance - Question #179AI System Risks
WonderTemp, a temporary staffing company, terminated most of its employees after implementing a virtual assistant to help write emails, policies and marketing materials, and answer...
AI harmsreputational riskeconomic harmhallucination consequences - Question #180AI Governance Program
Sam Simon is charged with implementing an AI governance program at his company, Spenger Inc. The company has implemented some AI systems already but has not really considered the r...
algorithmic impact assessmentAI governance programexisting frameworksrisk management - Question #181AI Governance Program
All of the following are included within the scope of post-deployment AI maintenance EXCEPT:
post-deployment maintenancemodel monitoringimpact assessmentcontrol framework - Question #182AI Governance Program
All of the following are reasons to deploy a challenger AI model in addition to a champion AI model EXCEPT to:
champion-challenger modelmodel monitoringmodel testingmodel deployment - Question #183AI Governance Program
You are part of your organization's ML engineering team and notice that the accuracy of a model that was recently deployed into production is deteriorating. What is the best first...
model performance degradationchampion-challenger testingproduction monitoringmodel retraining - Question #184Legal and Regulatory Landscape
A company plans on procuring a tool from an AI provider for its employees to use for certain business purposes. Which contractual provision would best protect the company's intelle...
intellectual propertyindemnificationAI procurementvendor contracts - Question #185Legal and Regulatory Landscape
Which of the following deployments of generative AI best respects intellectual property rights?
intellectual propertycopyrightgenerative AIcontent licensing - Question #186AI Governance Program
What is the best reason for a company to adopt a policy that prohibits the use of generative AI?
generative AI policyconfidential informationacceptable use policydata protection - Question #187AI Ethics and Best Practices
Which of the following is the least relevant consideration in assessing whether users should be given the right to opt out from an AI system?
user rightsopt-out mechanismsAI fairnesshuman oversight - Question #188Legal and Regulatory Landscape
Pursuant to the White House Executive Order of November 2023, who is responsible for creating guidelines to conduct red-teaming tests of AI systems?
White House Executive OrderNISTred-teamingAI regulation - Question #189Legal and Regulatory Landscape
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 AI as a workplace...
White House Executive Ordergenerative AI policygovernment agenciesAI regulation - Question #190Legal and Regulatory Landscape
The White House Executive Order from November 2023 requires companies that develop dual- use foundation models to provide reports to the federal government about all of the followi...
White House Executive Orderdual-use foundation modelsreporting requirementsred-team testing - Question #191AI Ethics and Best Practices
CASE STUDY Please use the following to answer the next question: A leading insurance provider that offers a range of coverage options to individuals has decided to utilize AI to st...
disparity testingbias mitigationinsurance underwritingalgorithmic fairness - Question #192AI Governance Program
Before training an AI model, which activity best supports governance and risk mitigation?
AI impact assessmentpre-training governancerisk mitigationmodel development lifecycle - Question #193AI Governance Program
What is the main purpose of accountability structures under the Govern function of the NIST AI Risk Management Framework?
NIST AI RMFGovern functionaccountability structurescross-functional teams - Question #194Legal and Regulatory Landscape
The initial pilot effort for NIST's Assessing Risks and Impacts of AI (ARIA) Program is focused on risks associated with which of the following?
NIST ARIAlarge language modelsAI risk assessmentAI standards - Question #195Legal and Regulatory Landscape
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...
AI liabilityAPI provider responsibilitythird-party accountabilityvendor risk - Question #196AI Ethics and Best Practices
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...
AI biastargeted advertisingdiscriminationdisparate impact - Question #197AI Ethics and Best Practices
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...
AI transparencyproprietary methodsdisclosure requirementsmodel documentation - Question #198AI Governance Program
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...
AI governance committeeproject oversightgovernance structurethird-party AI - Question #199Introduction to AI and AI Governance
Which of the following use cases would be best served by a non-AI solution?
AI use casesappropriate AI deploymentnon-AI alternativestool selection - Question #200AI Models and Data
Training data is best defined as a subset of data that is used to:
training datamachine learningpattern recognitionmodel development