Practice Free AAIR Exam Online Questions
Which of the following BEST enables an organization adopting AI solutions to foster an ethical and risk-aware culture?
- A . All business units use checklists to ensure AI risk and ethical concerns are addressed.
- B . Senior management representatives actively participate in industry conferences related to AI ethics.
- C . AI policies include clear disciplinary actions for violations of risk and ethical standards.
- D . Leadership consistently models ethical behavior and values for AI development and use.
Which of the following should be the PRIMARY consideration when determining the priority for restoration of AI systems following a model exfiltration attack?
- A . Reliance on the AI system for critical business requirements
- B . AI-specific expertise among business continuity team members
- C . Cost of AI system vulnerability testing and patch deployment
- D . Availability of externally vetted datasets for AI model retraining
A credit-scoring AI solution exhibits steadily declining accuracy despite unchanged input distributions.
Which of the following should a risk practitioner consider to be the GREATEST risk?
- A . Technical delays affecting credit score updates
- B . Underfitting resulting from shortened training cycles
- C . Concept drift leading to faulty decisions
- D . Increased model retraining costs
Which of the following is the PRIMARY purpose of maintaining comprehensive model cards and documentation?
- A . Justifying model use cases
- B . Preserving audit trails
- C . Listing technical specifications
- D . Providing model transparency
A risk practitioner reviews an AI model that ingests diverse external feeds and determines that their reliability is not consistent.
Which of the following BEST mitigates this risk?
- A . Weighting historical records over recent samples to limit induced variance
- B . Updating to the latest model version to accurately reflect real-world data changes
- C . Establishing data provenance and implementing stage gate quality reviews
- D . Reducing the diversity of the external feeds and the number of classes
Which of the following is the BEST justification for selecting a risk avoidance strategy when considering whether to deploy a high-impact AI system?
- A . Potential harm to stakeholders
- B . Long-term reduction of operational costs
- C . Shortage of AI expertise among staff
- D . Likelihood of data poisoning attacks
After which of the following events is it MOST important to update risk ratings?
- A . Discovery of discriminatory outputs from an AI system
- B . Addition of new metrics tracked by automated monitoring
- C . Vulnerability patch deployment for an AI system
- D . Creation of a new AI risk oversight committee
An organization has deployed an AI system that initially performs well but whose outputs deteriorate over time despite stable input characteristics.
Which of the following is the BEST course of action?
- A . Engage periodic external audits of model source code and implement peer code reviews.
- B . Replace the system’s predictive capability with static rule-based controls and fixed decision logic.
- C . Focus efforts on dataset cleansing and documentation prior to further system updates.
- D . Establish continuous performance monitoring and scheduled system recalibration.
A risk practitioner is concerned that an AI model’s responses have become more inaccurate over time, leading to diminished customer trust.
Which of the following should the risk practitioner recommend be done FIRST?
- A . Revise validation processes to add more review cycles.
- B . Take the model offline and perform a full backup.
- C . Fully retrain the model with a more recent dataset.
- D . Determine the impact on critical features and model outputs.
Which of the following is a risk practitioner’s BEST justification for embedding AI risk considerations into acceptable use policies?
- A . Addressing the potential for shadow AI by defining an allow list for AI tools
- B . Applying uniform risk controls across diverse business functions
- C . Maintaining alignment of enterprise tolerance across decision-making systems
- D . Assigning AI risk accountability to business unit leadership