Online Access Free AAISM Practice Test

An organization develops and implements an AI-based plug-in for users that summarizes their individual emails. Which of the following is the GREATEST risk associated with this application?

• A.Inadequate controls over parameters
• B.Lack of application vulnerability scanning
• C.Data format incompatibility
• D.Insufficient rate limiting for APIs

An organization is adopting multiple AI solutions for customer support and management is concerned about potential privacy and confidentiality violations due to the implementation of the new solution. Which of the following is the BEST risk mitigation strategy in this situation?

• A.Rely on best practice manuals from AI vendors to guide how employees use the systems.
• B.Use consumer-level AI guidelines with rules, terms, and recommendations for end users.
• C.Implement key risk indicators (KRIs) to monitor AI usage and update the risk register.
• D.Create responsible AI use policies that address ethics, acceptable use, and transparency.

When creating a charter for an AI governance committee, which clause is MOST critical to ensure long-term alignment between AI initiatives and enterprise strategy?

• A.Assignment of responsibility for daily monitoring of model performance metrics to the lead data scientist of each project
• B.List of approved machine learning (ML) frameworks and cloud platforms for use by the development team
• C.Requirement for annual executive board review and explicit approval of AI strategy, risk appetite, and major investments
• D.Requirement for all AI projects to complete a privacy impact assessment (PIA) before deployment

Which of the following MOST effectively secures ongoing stakeholder support for AI initiatives?

• A.Quantifying and communicating the value of AI solutions
• B.Addressing and optimizing AI-related risk
• C.Conducting periodic staff training
• D.Developing and monitoring an AI strategic roadmap

Which of the following is MOST important for an organization to consider when implementing a preventive security safeguard into a new AI product?

• A.Input sanitization
• B.Penetration testing
• C.Model output monitoring
• D.Differential privacy