What Trust Looks Like in AI Enabled Assurance

How internal and external auditors can respond to AI risk with stronger governance, controls, evidence and human oversight.

AI is already shaping how organisations process information, monitor controls and produce audit evidence. For audit leaders and decision-makers, the challenge is knowing what can be trusted, what needs to be tested and what must be documented.

Join Chin Ding Khoo (Director at LNP Audit and Assurance) and Portia Cerny (Artificial Intelligence Working Group Chair at The Institute of Internal Auditors) for a practical discussion on how internal and external auditors can assess AI-enabled environments, evidence, controls and reliance with confidence.

For audit leaders, partners, executives and risk decision-makers, this session offers a practical lens on assurance readiness and whether your teams can stand behind AI-influenced processes, evidence and audit conclusions.

AI is moving into the assurance environment. Make sure your audit approach is ready.

• Where AI is appearing in audit-relevant processes, from reporting and controls to evidence and decision-making
• How the AI trust stack helps auditors assess governance, data quality, transparency, security, oversight, documentation and evidence
• How to evaluate the reliability of AI-influenced information, systems and outputs
• What internal auditors should consider when reviewing AI governance, risk and accountability
• What external auditors should consider when AI affects financial reporting, management-produced information, controls or audit evidence
• What audit leaders need to support consistent execution, review visibility and defensible assurance

Register now

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