Artificial Intelligence is revolutionizing the world of auditing—but are professionals truly prepared for the shift? Misunderstandings around AI, its capabilities, and associated risks can leave audit functions vulnerable in an era of rapid digital transformation.
This insightful masterclass is designed to demystify the evolving role of AI in audit and risk management. Participants will explore how AI tools can enhance audit accuracy, identify anomalies, and automate critical tasks—while also addressing the challenges of bias, ethical use, and regulatory compliance.
Through engaging discussions, real-world applications, and practical guidance, this session empowers auditors to confidently leverage AI while safeguarding against its risks. Join us to stay relevant, resilient, and ready to lead the future of auditing.
Key Takeaways:
• AI is already influencing high-stakes business decisions—auditors must evolve.
• Traditional audit methods are not enough for AI systems (dynamic, non-transparent, data-driven).
• Risk professionals need new skills to evaluate algorithmic bias, model behavior, and data ethics.
• Global regulators are introducing strict AI governance standards (EU, US, India).
• The future of auditing includes understanding models, data pipelines, explainability, and fairness.
• AAIA™ offers a structured approach to becoming audit-ready in an AI-driven world.
1. Welcome & Opening Remarks
– Why AI auditing matters now
– Global momentum around AI governance
2. What is AI Auditing?
– Understanding AI systems from an audit lens
– Key risks in algorithms, data, and bias
3. Regulatory Landscape
– Overview of EU AI Act, NIST AI RMF, OECD AI Principles
– Impact on industries like BFSI, healthcare, and tech
4. The Role of Audit & Risk Teams
– What needs to change in audit methodology
– Skills required for AI-literate auditors
5. Framework Overview (AAIA™ Approach)
– Domains covered
– Controls, governance, and accountability
6. Q&A with Participants
– Real-world questions, use cases, and tools