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| Section | Objectives |
|---|---|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| AI Risk Management | - Risk identification and assessment for AI systems
|
| AI Lifecycle Controls | - Controls across AI development lifecycle
|
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
1. An organization uses an AI model that learns from live data streams. Which of the following is the BEST course of action to manage the risk of an adaptive model?
A) Utilize a defense-in-depth control approach for model access.
B) Restrict data sources and perform periodic data quality inspections.
C) Apply dynamic performance thresholds and conduct scheduled recalibrations.
D) Implement automated monitoring to detect data drift and data poisoning.
2. 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) AI policies include clear disciplinary actions for violations of risk and ethical standards.
C) Leadership consistently models ethical behavior and values for AI development and use.
D) Senior management representatives actively participate in industry conferences related to AI ethics.
3. A manufacturing organization has implemented an autonomous navigation system for warehouse operations.
Which of the following should a risk practitioner regard as the MOST significant concern?
A) The deep neural network used by the system contains datasets with proprietary information.
B) The system is unable to learn from complex situations not encountered during training.
C) The organization uses outside contractors to address the lack of in-house AI knowledge.
D) The system is used to accelerate just-in-time warehouse processes.
4. Which of the following is the PRIMARY benefit of using AI-based data analytic tools to monitor AI system risk?
A) Early detection of latent vulnerabilities by identifying anomalous patterns within large datasets
B) Comprehensive logging and documentation of unauthorized AI system access attempts
C) Forecasting industry-specific AI risk trends and projecting future financial and business risk
D) Reduction of human involvement through automation of risk analyses and treatment decisions
5. Which of the following should be the PRIMARY consideration when determining the priority for restoration of AI systems following a model exfiltration attack?
A) Availability of externally vetted datasets for AI model retraining
B) AI-specific expertise among business continuity team members
C) Reliance on the AI system for critical business requirements
D) Cost of AI system vulnerability testing and patch deployment
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |
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