Which risks are explicitly managed within AI governance?

Prepare for the ISACA Advanced in AI Security Management (AAISM) Test. Study with in-depth multiple choice questions, each offering insightful hints and detailed explanations. Equip yourself with expert knowledge and get exam-ready!

Multiple Choice

Which risks are explicitly managed within AI governance?

Explanation:
AI governance focuses on overseeing AI systems to ensure responsible and trustworthy use, with explicit attention to non-financial risks that arise from AI deployment. Ethical risks cover fairness, bias, transparency, accountability, and respect for rights; security risks address data protection, model integrity, and resilience against manipulation; reputational risks pertain to trust and public confidence in how AI is used. These areas are actively managed through governance policies, risk assessments, oversight bodies, and controls built into the AI lifecycle. While financial, market, or purely operational risks exist in any organization, they are not the explicit focus of AI governance, though AI can influence them indirectly.

AI governance focuses on overseeing AI systems to ensure responsible and trustworthy use, with explicit attention to non-financial risks that arise from AI deployment. Ethical risks cover fairness, bias, transparency, accountability, and respect for rights; security risks address data protection, model integrity, and resilience against manipulation; reputational risks pertain to trust and public confidence in how AI is used. These areas are actively managed through governance policies, risk assessments, oversight bodies, and controls built into the AI lifecycle. While financial, market, or purely operational risks exist in any organization, they are not the explicit focus of AI governance, though AI can influence them indirectly.

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