AAISM Practice Questions: AI Governance and Program Management Domain

Correct Answer: B

Explanation: Conducting a Data Protection Impact Assessment (DPIA) regularly (B) is the best approach as it systematically evaluates the risks to data protection and suggests measures to mitigate them, ensuring compliance with GDPR principles. Data anonymization (A) and retention policies (C) are specific controls, while training (D) supports awareness but does not directly ensure compliance.

Correct Answer: B

Explanation: Establishing a data lineage framework (B) is crucial as it provides visibility into data transformations and ensures integrity throughout the data lifecycle. Data encryption (A) protects data confidentiality, audits (C) monitor access, and labeling policies (D) ensure data quality, but they do not directly address data integrity across the lifecycle.

Correct Answer: B

Explanation: The primary objective of incorporating stakeholder considerations is to align AI initiatives with organizational goals and values (B). This ensures that AI systems support the strategic objectives of the organization. While compliance (A), risk minimization (C), and transparency (D) are important, they are more specific outcomes rather than the overarching objective.

Correct Answer: A

Explanation: Conducting a comprehensive impact assessment at the design phase is the most effective control as it ensures that potential risks and compliance issues are identified and addressed early in the AI system's lifecycle. While continuous monitoring (B) and establishing a compliance committee (C) are important, they do not proactively address compliance issues at the outset. Developing an ethics policy (D) is beneficial but not directly focused on compliance with the EU AI Act.

Correct Answer: A

Explanation: Conducting a gap analysis (A) is the best initial step as it helps the organization understand where its current practices diverge from the NIST AI RMF, allowing for targeted improvements. Implementing a pilot program (B) or training staff (C) are subsequent steps that should follow the identification of gaps. Establishing a governance board (D) is important for oversight but is not the initial step in alignment.

Correct Answer: B

Explanation: Defining clear data ownership and stewardship roles (B) is most important as it ensures accountability and proper management of data throughout its lifecycle. While encryption (A), access controls (C), and classification updates (D) are critical components of data security, they rely on well-defined roles and responsibilities to be effectively implemented.

Correct Answer: C

Explanation: The primary benefit of using a framework like ISO/IEC 42001 is that it facilitates consistent and standardized AI management practices (C), ensuring that AI governance is systematic and aligned with best practices. While it may help with compliance (B) and security controls (A), these are secondary benefits. Enhancing technical performance (D) is not a direct benefit of governance frameworks.

Correct Answer: B

Explanation: Establishing an ethics review board for AI projects (B) is most effective as it provides oversight and guidance on ethical issues throughout the AI lifecycle. While bias detection tools (A) and transparency reports (D) are important, they address specific aspects of ethics. Regular training (C) supports awareness but does not provide governance or oversight.

Correct Answer: C

Explanation: The integration with existing IT incident response processes (C) is most critical as it ensures that AI incidents are managed within the broader context of organizational incident management, leveraging existing resources and expertise. While speed (A), cross-functional involvement (B), and communication (D) are important, they are components of an effective incident response plan rather than the most critical factor.

Correct Answer: A

Explanation: Identifying and classifying AI assets (A) is the first step as it provides the foundational understanding of what needs to be protected and prioritized in the AI security program. Establishing policies (B), conducting risk assessments (C), and setting up a team (D) are subsequent steps that rely on a clear understanding of the AI assets.