AAIR practice questions, page 2 of 4, with answer review and explanations.
Question 6
A risk practitioner is assessing risk in a newly implemented AI system integrated into an organization's business processes. Which of the following is the MOST important consideration for the risk practitioner?
Escalation and approval protocols for AI mitigation measures
Level of existing business process automation prior to AI adoption
AI expertise within the organization’s risk management function
Criticality and impact of decision-making driven by the AI system
Question 7
Which of the following is the GREATEST concern when AI risk management operates separately from enterprise risk management (ERM)?
Lack of strategic control alignment
Inconsistent regulatory reporting
Reduced return on investment (ROI) due to increased model training costs
Redundant risk documentation and scoring
Question 8
Which of the following is the PRIMARY reason to include contractual requirements for model updates and disclosures from third-party AI suppliers?
To guarantee that existing availability targets will be achieved following each update
To ensure timely detection and mitigation of new system risks that could harm individuals
To ensure internal trust in the model's reliability before launching AI-driven innovation efforts
To determine appropriate access to vendor staff for datasets containing sensitive information
Question 9
An organization seeks to implement a new AI system that uses customer information to create targeted product recommendations. Which of the following is the MOST important consideration to ensure the system complies with regulatory requirements?
Legally sourced data with appropriate consent
Backup and storage protocols for sensitive data
Human review of system recommendations
Use of supervised learning during model training
Question 10
An organization is integrating AI systems into core business operations and has decided to establish a formal process to align AI initiatives with corporate values. Which of the following is the GREATEST benefit of this decision?
Ethical principles can be added to AI development and usage after deployment.
Return on investment (ROI) for new AI services can be evaluated more accurately.
Executive support for technical training and upskilling related to AI can be more effectively obtained.
The transparency and explainability of AI model decisions is enhanced for all stakeholder groups.