Session Breakdown
Session 1 – Ethics Meets Technology: Setting the Scene

• Impact of AI on the audit profession
• Overview: IESBA Code Technology Revisions (Integrity, Objectivity, Confidentiality & Due Care)
• AI and professional scepticism – risks of overreliance
• Mini Case: Misuse of AI in audit planning – ethical fallout

Session 2 – Ethical Risks of AI in Accounting & Audit

• How AI introduces independence and ethical threats:

• Overreliance threat
• Self-review threat
• Confidentiality threat
• Cyber risk threat
• Complexity threat

• Interactive Exercise: Identify threats in real audit analytics examples
• Tool Mapping: Power BI, ChatGPT, IDEA – risk classification per tool

Session 3 – Practical Audit Analytics with Power BI (Hands-On)

• Importing general ledger and trial balance datasets
• Data transformation using Power Query (audit-ready steps)
• Build 3 ethical audit analytics:

• Duplicate vendors and payments
• Outlier expense review
• Journal entry fraud signals

IESBA Ethical Note: Validating AI-generated patterns – no blind reliance

Session 4 – Using AI Tools Responsibly

• Automation vs audit judgment
• AI in risk assessment (MindBridge AI example)
• AI in journal entry testing (CaseWare IDEA demo)
• Exercise: Write an Ethical AI Use Justification in workpapers

Session 5 – POPIA, Confidentiality and Data Protection in AI

• Using cloud AI tools ethically – legal do’s/don’ts
• AI platforms and client data risk
• Practical: De-identifying audit data for AI tools

Deliverable: POPIA-Compliant AI Checklist for Audit Firms

Session 6 – Controls, Safeguards & Firm Policy

• Implementing ethical safeguards from IESBA Section 120

AI risk register for audit firms

Session 7 – Real Case Study

Case Study: Midlands Construction Audit

• Use Power BI analytics to:

• Detect related parties
• Spot round-number fraud risks
• Identify override of controls

• Identify ethical threats and a