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ISACA AAIR Exam Syllabus Topics:

Section	Objectives
AI Risk Management	- Risk identification and assessment for AI systems 1. Model risk identification 2. Operational risk in AI deployment
AI Governance and Strategy	- AI governance frameworks and organizational oversight 1. Policy development for AI systems 2. Roles and responsibilities in AI governance
Ethics, Privacy, and Responsible AI	- Ethical AI principles and compliance 1. Transparency and explainability 2. Bias and fairness mitigation
Regulatory and Compliance Requirements	- Global AI regulatory landscape 1. Industry standards for AI risk management 2. Data protection and privacy regulations
AI Lifecycle Controls	- Controls across AI development lifecycle 1. Model validation and testing 2. Data quality and preparation controls

ISACA Advanced in AI Risk Sample Questions:

Question #1

A financial organization is developing an AI model for credit risk assessment. Which of the following is MOST important to ensure the training data supports accurate and unbiased outcomes?

A. Synthetic data augmentation
B. Data normalization
C. Dataset diversity
D. Supervised learning

Reveal Solution Discussion 0

Correct Answer: C 🗳️