ISACA Advanced in AI Audit (AAIA) (SF)
About This Course
This is a 2-day advanced course designed to equip audit, risk, and assurance professionals with the knowledge and tools required to assess Artificial Intelligence (AI) systems in modern enterprise environments. As organisations increasingly adopt AI to drive automation, decision-making, and business transformation, the need for robust governance, ethical oversight, and AI-specific audit practices has never been greater.
Aligned with ISACA’s AI Audit Framework and industry-leading standards, the course covers key areas such as AI Governance, ethical principles, data integrity, risk management, and regulatory compliance which split into 3 domains: AI Governance and Risk, AI Operations, and AI Auditing Tools and Techniques . Participants will explore the challenges and responsibilities involved in auditing AI technologies across their full lifecycle.
Through a combination of lectures, case studies, group activities, the course offers a practical and comprehensive learning experience for professionals tasked with evaluating the effectiveness, fairness, and accountability of AI systems.
What You'll Learn
2.Develop plans and assess AI models, workforce readiness, and system interactions to identify and respond to potential ethical conflicts aligned with AI governance principles.
3. Develop and integrate proactive plans across AI systems, architectures, and lifecycle stages to prevent ethics and governance breaches and establish clear ownership of AI-related risks.
4. Monitor AI systems using metrics, policies, and governance mechanisms to ensure continuous adherence to ethical and regulatory standards across key organizational domains.
5. Evaluate the organizational and stakeholder implications of AI non-compliance and communicate potential ethical impacts and governance gaps to relevant teams and decision-makers.
Entry Requirements
To attend this course, you should meet the following criteria (not mandatory but recommended):
Active Audit/Accounting Credentials: You should be an active holder of CISA (Certified Information Systems Auditor) or CIA (IIA), or CPA (AICPA, Canadian, Australian, Japanese, or ACCA/FCCA).
Experience: Proven experience in IT audit or IT advisory roles.
Domain Knowledge: Some familiarity with or direct involvement in auditing, assessing, implementing, or maintaining AI systems.
Language/Literacy: Minimum 3 GCE 'O' Levels passes (including English) or WPL Level 5.
Working Experience: A minimum of 1 year of relevant domain working experience.